In this paper, we describe the challenges of collecting data in the Māori population for automatic detection of schizophrenia using natural language processing (NLP). Existing psychometric tools for detecting are wide ranging and do not meet the health needs of indigenous persons considered at risk of developing psychosis and/or schizophrenia. Automated methods using NLP have been developed to detect psychosis and schizophrenia but lack cultural nuance in their designs. Research incorporating the cultural aspects relevant to indigenous communities is (...) lacking in the design of existing automatic prediction tools and one of the main reasons is the scarcity of data from indigenous populations. This paper explores the current design of the New Zealand health care system and its potential impacts on access and inequities in the Māori population and details the methodology used to collect speech samples of Māori at risk of developing psychosis and schizophrenia. The paper also describes the major obstacles faced during speech data collection, key findings, and probable solutions. (shrink)

There is an increasing emphasis internationally on better understanding the links between inequalities and processes within school systems. In England there has been a particular focus on rates of school exclusion because the national data has consistently highlighted troubling patterns of over-representation. This paper argues that a move away from recorded exclusion to other forms of sanction and provision makes more contextualised readings of these data key to better understanding their association with inequalities. It also explores the challenges (...) faced by key stakeholders working to reduce inequalities within an increasingly marketised system. It concludes that embedding consistent good practice across the system remains a critical challenge. (shrink)

The historiography of pandemics and inequality can be characterized by two distinct but often overlapping traditions. One centers structural and political analysis, the other a race-critical approach to the production of human difference. This bibliographic essay reviews historical scholarship in these traditions spanning the past hundred years, with a focus on Anglophone literature in the history of medicine in the United States over the past half century. Early writing on the history of epidemics celebrated the conquest of disease through (...) the application of laboratory research. Insights from social history and environmental history came to inform new analyses of epidemic inequalities, drawing questions of race, class, and empire into the frame during the 1960s and 1970s. The AIDS pandemic of the 1980s further oriented scholarship toward reckoning with stigma, identity, and human experiences of inequality while also troubling the relationship between medicine and the state. In more recent decades, the scholarship on race, social inequality, and pandemics has become deep and broad, remedying longstanding biases toward elite scientific actors and the metropolitan centers of Europe and the East Coast of the United States. In expanding their vision, historians also have engaged in more nuanced analyses of racialization as a social, environmental, and ideological process of embodying difference. Further, where earlier scholarship often relied on mortality data, there has been growing awareness of how numbers shape narratives and are shaped by them in turn. In its conclusion, the essay highlights emerging themes in race and inequality with particular attention to themes that have become prominent amid the global devastation wrought by the COVID-19 pandemic. (shrink)

Extant sociological theories of gendered power within marriage focus on how social forces—such as gender inequality—shape women’s power within already established partnerships and subsequently affect their risk of intimate partner violence. Yet, inequitable social forces similarly shape women’s life conditions prior to and during the marital transition, with implications for women’s power in marriage. In Myanmar, gender relations between women and men historically have been touted as equitable and advantageous to women. Rare qualitative data find that structural gender (...) inequalities permeate Myanmar society, and intersect with other social forces, to constrain women’s marital power. In particular, we argue that women’s transition into marriage is a critical period to assess how gendered social inequalities determine the future distribution of power within marital relationships. These premarital social processes result in a “preconditioning” of relationship dynamics from the onset of marriage, with long-term effects on women’s power within the relationship, and subsequent exposure to intimate partner violence. We encourage sociological work on gendered power in the family to systematically consider women’s premarital social conditions as predictors of women’s relative power in marriage, with implications for their health and well-being. (shrink)

This article responds to scholarly calls to engage with diaspora in the context of transnational educational mobilities in global higher education. It maintains that transnational academic mobilities produce a particular kind of academic diaspora, that is often valued by both home and host countries but in ways that vary and serve different interests and aspirations. While the contrasting perspectives on brain circulation and brain drain persist, what this article argues is that systemic inequalities are (re)produced through the processes of transnational (...) academic mobilities, which privilege the mobility of some and not others, and at the same time under-value the home-grown academics and overseas-trained academics that return home. The current diaspora politics is located within this complex, hierarchical, and dynamic cultural, political and economic space. In particular, it pinpoints how the promoted desirability of diasporic brains and talents in policy and practice has co3ntinued to reproduce and consolidate academic inequalities. The article then argues for place-based/at home transnationality, seeing it as productive counter position to help reduce inequalities. The article employs self-study research and is informed by a bricolage of data on Vietnam and its Vietnamese transnational academic diasporas gathered at different points in time and in different contexts. (shrink)

Human activities are being increasingly regulated by means of technologies. Smart borders regulating human movement are no exception. I argue that the process of digitization – including through AI, Big Data and algorithmic processing – falls short of respecting (fundamental) rights to the extent to which it ignores what I term to be the problem of indeterminacy. While adopting a data feminist approach in this paper, assuming that data is the ‘new oil’, that is power, I (...) begin theorizing indeterminacy from the imminent risks of datafication as a new instrument of oppression perpetuating injustice and widening inequality gaps. I conclude that technologies regulating human activities must stand ethical scrutiny, especially if they can and do result in (human) rights violations. Unlike the oil being extracted from the ground, data is de facto extracted from people endowed with agency, autonomy, rights and contexts – all which ought to be respected and protected. (shrink)

In response to calls for greater interdisciplinary involvement from the social sciences and humanities in the development, governance, and study of artificial intelligence systems, this paper presents one sociologist’s view on the problem of algorithmic bias and the reproduction of societal bias. Discussions of bias in AI cover much of the same conceptual terrain that sociologists studying inequality have long understood using more specific terms and theories. Concerns over reproducing societal bias should be informed by an understanding of the (...) ways that inequality is continually reproduced in society—processes that AI systems are either complicit in, or can be designed to disrupt and counter. The contrast presented here is between conservative and radical approaches to AI, with conservatism referring to dominant tendencies that reproduce and strengthen the status quo, while radical approaches work to disrupt systemic forms of inequality. The limitations of a conservative approach to racial bias are discussed through the specific example of biased criminal risk assessments and Indigenous overrepresentation in Canada’s criminal justice system. This illustrates the dangers of treating racial bias as a generalizable problem and equality as a generalizable solution, emphasizing the importance of considering inequality in context. Societal issues can no longer be out of scope for AI and machine learning, given the impact of these systems on human lives. This requires engagement with a growing body of critical AI scholarship that goes beyond biased data to analyze structured ways of perpetuating inequality, opening up the possibility for interdisciplinary engagement and radical alternatives. (shrink)

The redundant-signals paradigm (RSP) is designed to investigate response behavior in perceptual tasks in which response-relevant targets are defined by either one or two features, or modalities. The common finding is that responses are speeded for redundantly compared to singly defined targets. This redundant-signals effect (RSE) can be accounted for by race models if the response times do not violate the race model inequality (RMI). When there are violations of the RMI, race models are effectively excluded as a viable (...) account of the RSE. The common alternative is provided by co-activation accounts, which assume that redundant target signals are integrated at some processing stage. However, ‘co-activation’ has mostly been only indirectly inferred and the accounts have only rarely been explicitly modeled; if they were modeled, the RSE has typically been assumed to have a decisional locus. Yet, there are also indications in the literature that the RSE might originate, at least in part, at a non-decisional or motor stage. In the present study, using a distribution analysis of sequential-sampling models (ex-Wald and Ratcliff Diffusion model), the locus of the RSE was investigated for two bimodal (audio-visual) detection tasks that strongly violated the RMI, indicative of substantial co-activation. Three model variants assuming different loci of the RSE were fitted to the quantile reaction time proportions: a decision, a non-decision, and a combined variant both to vincentized group as well as individual data. The results suggest that for the two bimodal detection tasks, co-activation has a shared decisional and non-decisional locus. These findings point to the possibility that the mechanisms underlying the RSE depend on the specifics (task, stimulus, conditions, etc.) of the experimental paradigm. (shrink)

We are experiencing a historical moment characterized by unprecedented conditions of virality: a viral pandemic, the viral diffusion of misinformation and conspiracy theories, the viral momentum of ongoing Hong Kong protests, and the viral spread of #BlackLivesMatter demonstrations and related efforts to defund policing. These co-articulations of crises, traumas, and virality both implicate and are implicated by big data practices occurring in a present that is pervasively mediated by data materialities, deeply rooted dataist ideologies that entrench processes of (...) datafication as granting objective access to truth and attendant practices of tracking, data analytics, algorithmic prediction, and data-driven targeting of individuals and communities. This collection of papers explores how data is figuring in the making of the discourses, lived realities, and systemic inequalities of the uneven impacts of the coronavirus pandemic. (shrink)

We show that as a chain of confirmation becomes longer, confirmation dwindles under screening-off. For example, if E confirms H1, H1 confirms H2, and H1 screens off E from H2, then the degree to which E confirms H2 is less than the degree to which E confirms H1. Although there are many measures of confirmation, our result holds on any measure that satisfies the Weak Law of Likelihood. We apply our result to testimony cases, relate it to the Data- (...) class='Hi'>Processing Inequality in information theory, and extend it in two respects so that it covers a broader range of cases. (shrink)

China is experiencing high social inequality accompanying influential education reforms. The Independent Freshmen Admission policy was one of the multiple strategies in higher education reforms in China against the social context of high social inequality and the expansion of higher education. By comparing students admitted through IFA with those admitted by the National College Entrance Examination, we examined how family advantages contributed to higher education inequality in terms of educational opportunity, process, and results. Using data from (...) an elite university in Beijing, we found that: Family advantages improved a student’s likelihood of being admitted through IFA, exhibiting opportunity inequality. No significant difference in academic grades existed between the students admitted through IFA and NCEE. In comprehensive quality, however, those recruited through IFA performed significantly better than those admitted through NCEE. Family social capital not only increased the likelihood of students being admitted through IFA but also, through direct and indirect effects, increased their comprehensive quality performance in terms of receiving student association and social practice awards. (shrink)

Recent events have highlighted large-scale systemic racial disparities in U.S. criminal justice based on race and other demographic characteristics. Although criminological datasets are used to study and document the extent of such disparities, they often lack key information, including arrestees’ racial identification. As AI technologies are increasingly used by criminal justice agencies to make predictions about outcomes in bail, policing, and other decision-making, a growing literature suggests that the current implementation of these systems may perpetuate racial inequalities. In this paper, (...) we argue that AI technologies should be investigated to understand how they recognize racial categories and whether they can be harnessed to fill missing race data. By bridging this gap, we can work towards better understanding racial inequalities in a wide range of contexts, most notably criminal justice. Using a multidisciplinary perspective, we rethink the design and methodology used in facial processing technology (FPT) based on supervised deep learning model (DLM) image classification. By modifying standard FPT pipelines to tackle multiple sources of DLM bias, we propose an experimental methodology based on ethical AI principles to generate binary (Black and White) racial categories using mugshots. We go beyond simply reporting DLM accuracies and address fundamental issues such as generalizability and interpretability by using a “self-auditing” approach. First, we evaluate the inference performances of 42 fine-tuned DLMs using unseen test images from the same dataset but subject to varying data augmentations. Next, to interpret and validate our methodological approach, we apply gradient-based saliency maps to assess the consistency of facial region relevance and attribution. Finally, drawing upon insights from three areas (computer science, sociology, and law), we investigate the efficacy of our DLM-based method as a tool for detecting racial inequalities in criminal justice. (shrink)

Philosophers have relied on visual metaphors to analyse ideas and explain their theories at least since Plato. Descartes is famous for his system of axes, and Wittgenstein for his first design of truth table diagrams. Today, visualisation is a form of ‘computer-aided seeing’ information in data. Hence, information is the fundamental ‘currency’ exchanged through a visualisation pipeline. In this article, we examine the types of information that may occur at different stages of a general visualization pipeline. We do so (...) from a quantitative and a qualitative perspective. The quantitative analysis is developed on the basis of Shannon’s information theory. The qualitative analysis is developed on the basis of Floridi’s taxonomy in the philosophy of information. We then discuss in detail how the condition of the ‘data processing inequality’ can be broken in a visualisation pipeline. This theoretic finding underlines the usefulness and importance of visualisation in dealing with the increasing problem of data deluge. We show that the subject of visualisation should be studied using both qualitative and quantitative approaches, preferably in an interdisciplinary synergy between information theory and the philosophy of information. (shrink)

ABSTRACT The debate between proponents and opponents of causal foundationalism has recently surfaced as a disparity between causal structuralism and causal anti-foundationalism in the structural realist camp. The paper outlines and dissolves the problem of disparity for structural realism. I follow John Collier to specify causation in terms of the transmission of information. Unlike them, I built upon the reverse quantum data-processing inequality to show how this approach models causation as a symmetric process at the level of (...) fundamental physics. I show how this suggestion reduces the disparity about causation to a problem of application to diverse contexts. (shrink)

Socially responsible publishers, such as the BMJ Publishing Group, have demonstrated a commitment to health equity and working towards rectifying the structural racism that exists both in healthcare and in medical publishing.1 The commitment of academic publishers to collecting information relevant to promoting equity and diversity is important and commendable where it leads to that result.2 However, collecting sensitive demographic data is not a morally neutral activity. Rather, it carries with it both known and potential risks. Among these are (...) issues around privacy or data misuse, as well as more basic concerns about how, when or why people should be categorised in certain ways and/or prompted to conceive of themselves or their identities in certain terms.3 If such data are to be collected, therefore, their effectiveness in achieving the stated ends must have a sufficiently compelling evidence base so as to justify the various risks involved. And where possible, these risks must also be identified and minimised. As Varcoe et al 4 argue, > While most leaders and healthcare workers and some patients [in their study] envisioned potential benefits associated with having ethnicity data, these benefits were seen as largely contingent upon action being taken to [actually] ameliorate inequities. Overwhelmingly, however, leaders from ethno-cultural communities and patients of diverse identities anticipated potential harm arising both from having ethnicity data and the process of collection. The analysis illustrates that in today’s sociopolitical context, collecting ethnicity data in clinical contexts may engender considerable harm, particularly for racialized, vulnerable patients. (p1569) Varcoe et al refer to ‘ethnicity’ data, which as they note is an ambiguous concept, potentially encompassing such diverse notions as ancestry, language, religion or culture. It is also a term that is in some contexts—for example, the USA—often used interchangeably with a different, more highly charged term: ‘race’. Data …. (shrink)

Expected utility maximization problem is one of the most useful tools in mathematical finance, decision analysis and economics. Motivated by statistical model selection, via the principle of expected utility maximization, Friedman and Sandow (J Mach Learn Res 4:257–291, 2003a) considered the model performance question from the point of view of an investor who evaluates models based on the performance of the optimal strategies that the models suggest. They interpreted their performance measures in information theoretic terms and provided new generalizations of (...) Shannon entropy and Kullback–Leibler relative entropy and called them U-entropy and U-relative entropy. In this article, a utility-based criterion for independence of two random variables is defined. Then, Markov’s inequality for probabilities is extended from the U-entropy viewpoint. Moreover, a lower bound for the U-relative entropy is obtained. Finally, a link between conditional U-entropy and conditional Renyi entropy is derived. (shrink)

Individuals differ in their support for social change. We argue that examinations of inequality and change would benefit from consideration of underlying personality processes. New data suggest that Right-Wing Authoritarianism and Social Dominance Orientation, indicators of support for inequality, may be motivated by biologically driven personality processes, particularly those related to positive-approach motivation.

Academic and public debates are increasingly concerned with the question whether and how algorithmic decision-making may reinforce social inequality. Most previous research on this topic originates from computer science. The social sciences, however, have huge potentials to contribute to research on social consequences of ADM. Based on a process model of ADM systems, we demonstrate how social sciences may advance the literature on the impacts of ADM on social inequality by uncovering and mitigating biases in training data, (...) by understanding data processing and analysis, as well as by studying social contexts of algorithms in practice. Furthermore, we show that fairness notions need to be evaluated with respect to specific outcomes of ADM systems and with respect to concrete social contexts. Social sciences may evaluate how individuals handle algorithmic decisions in practice and how single decisions aggregate to macro social outcomes. In this overview, we highlight how social sciences can apply their knowledge on social stratification and on substantive domains of ADM applications to advance the understanding of social impacts of ADM. (shrink)

Human brain is a highly evolved coordinating mechanism in the species Homo sapiens. It is only in the last 100 years that extensive knowledge of the intricate structure and complex functioning of the human brain has been acquired, though a lot is yet to be known. However, from the beginning of civilisation, people have been conscious of a 'mind' which has been considered the origin of all scientific and cultural development. Philosophers have discussed at length the various attributes of consciousness. (...) At the same time, most of the philosophical or scientific frameworks have directly or indirectly implied mind-body duality. It is now imperative that we develop an integrated approach to understand the interconnection between mind and consciousness on one hand and brain on the other. This paper begins with the proposition that the structure of the brain is analogous, at least to certain extent, to that of the computer system. Of course, it is much more sophisticated and complex. The second proposition is that the Chomskyean concept of 'mental organs' is a good working hypothesis that tries to characterise this complexity in terms of an innate cognitive framework. By following this dual approach, brain as a data processing system and brain as a superstructure of intricately linked mental organs, we can move toward a better understanding of 'mind' within the framework of empirical science. The one 'mental organ' studied extensively in Chomskyean terms is 'language faculty' which is unique in its relation to brain, mind and consciousness. (shrink)

Data increasingly drive our lives. Often presented as a new trajectory, the deep immersion of our lives in data has a history that is well over a century old. By revisiting the work of early pioneers of what would today be called data science, we can bring into view both assumptions that fund our data-driven moment as well as alternative relations to data. I here excavate insights by contrasting a seemingly unlikely pair of early (...) class='Hi'>data technologists, Francis Galton and W.E.B. Du Bois. Galton, well known for his contributions to eugenics, was first and foremost a tinkering technician of measure. There are numerous domains of science over which Galtonian conceptions retain considerable influence, presumably without his pride in racial inequality. A more viable, because more egalitarian, alternative for the present can be found in the early data work of Du Bois. (shrink)

The efficient processing of large-scale data has very important practical value. In this study, a data mining platform based on Hadoop distributed file system was designed, and then K-means algorithm was improved with the idea of max-min distance. On Hadoop distributed file system platform, the parallelization was realized by MapReduce. Finally, the data processing effect of the algorithm was analyzed with Iris data set. The results showed that the parallel algorithm divided more correct samples (...) than the traditional algorithm; in the single-machine environment, the parallel algorithm ran longer; in the face of large data sets, the traditional algorithm had insufficient memory, but the parallel algorithm completed the calculation task; the acceleration ratio of the parallel algorithm was raised with the expansion of cluster size and data set size, showing a good parallel effect. The experimental results verifies the reliability of parallel algorithm in big data processing, which makes some contributions to further improve the efficiency of data mining. (shrink)

This paper examines classification practices in the domain of plant data semantics, and particularly methods used to label plant traits to foster the collection, management, linkage and analysis of data about crops across locations—which crucially inform research and interventions on plants and agriculture. The efforts required to share data place in sharp relief the forms of diversity characterizing the systems used to capture the biological and environmental characteristics of plant variants: particularly the biological, cultural, scientific and semantic (...) diversity affecting the identification and description of plant traits, the methods used to generate and process data, and the goals and skills of those with relevant expertise—including farmers and breeders. Through a study of the Crop Ontology (which explicitly recognizes and negotiates diversity) and its application to cassava breeding, I argue for a process-sensitive approach to the naming of plant traits that focuses on documenting environmental processes instead of biological products. I claim that this approach can foster reliable linkage and robust re-use of plant data, while at the same time facilitating dialogue between data scientists, plant researchers, breeders, and other relevant experts in ways that crucially inform agricultural interventions. I conclude that the study of data semantics and related descriptors constitutes a productive and underexplored way to think about the epistemic import of naming traits within plant science. The effort to articulate semantic differences among plant varieties and methods of data processing can generate newly inclusive ways to develop and communicate biological knowledge. In turn, such practices have the potential to defy existing understandings of systematisation and hierarchies of expertise in biology, thus bolstering the extent to which plant science can support biodiversity and sustainable agriculture. (shrink)

Social Networking Services provide services in return for rights to commercialize users’ personal data. We argue that what makes this transaction permissible is not users’ autonomous consent but the provision of sufficiently valuable opportunities to exchange data for services. We argue that the value of these opportunities should be assessed for both (a) a range of users with different decision-making abilities and (b) third parties. We conclude that regulation should shift from aiming to ensure autonomous consent towards ensuring (...) that users face options that they will use to advance individual and common interests. (shrink)

People crossing the border into the United States or Canada may find their electronic devices subject to search. Border agents can require travelers to unlock their devices, and then browse through...

Frameworks for responsible data stewardship, such as that proposed by McCoy et al. (2023), are intended to encourage and provide guidelines for data processors to engage in responsible data process...

Background: Social inequities in health systems are threats to global health. Considering the important role of nurses in establishing social justice, identification of factors affecting nurses’ participation in this area can contribute to the development of social justice. Objective: This study aimed to identify factors affecting nurses’ participation in establishing social justice in the health system. Research design and methods: The study was conducted using conventional qualitative content analysis approach. Purposive sampling was used to select 14 participants in 2019. The (...) data were collected through semi-structured interviews and analyzed concurrently with data gathering. Participants and research context: In total, six faculty members, five nursing managers, and three clinical nurses from three different universities were interviewed. Ethical considerations: The research was approved by the Ethics Committee of Urmia University of Medical Sciences in Iran. Findings: Four main themes were found, including inadequate professional authority, insufficient attention to social justice in the area of education, clinical concerns as barriers to professional presence in society, and reflection of personality traits in the profession. These are the main factors affecting nurses’ participation in establishing social justice in the health system. Discussion: Authorities need to take effective steps to establish social justice through reforming the health system’s policy-making and power-acquisition domains, promoting nurses’ involvement in social factors in health issues, and adding professional values as a part of nursing curriculum. The clinical practice environment can also be helpful through providing quality, safe, and cost-effective services. In addition, fair and efficient recruitment process for new nurses can contribute to the establishment of social justice in the health system. Conclusion: Macro-level managerial factors such as policy, education, and clinical environment, along with personal factors, play a significant role in the participation of nursing profession in establishing social justice. (shrink)

How do we measure happiness? Focusing on subjective measures as a proxy for welfare and well-being, this book finds ways to do that. Subjective measures have been used by psychologists, sociologists, political scientists, and, more recently, economists to answer a variety of scientifically and politically relevant questions. Van Praag, a pioneer in this field since 1971, and Ferrer-i-Carbonell present in this book a generally applicable methodology for the analysis of subjective satisfaction. Drawing on a range of surveys on people's satisfaction (...) with their jobs, income, housing, marriages, and government policy, among other areas of life, this book shows how satisfaction with life "as a whole" is an aggregate of these domain satisfactions. Using German, British, Dutch, and Russian data, the authors cover a wide range of topics, even some not usually considered part of economic study.The book makes a distinction between actual satisfaction levels and individual norms, and in this way complements Van Praag's earlier work within the Leyden School with his later work in "happiness research". Among the many topics covered, the authors discuss: individuals' memory and anticipation processes and the estimation of adaptation phenomena ; the effect of reference groups on income norms and satisfaction with income; the importance of climate for well-being, including the development of a climate-equivalence index; the trade-offs between chronic diseases and income when well-being is kept constant; the damage of aircraft noise on well-being; the construction of a new talent tax tariff; and inequality from a satisfaction perspective, including the definition of "satisfaction inequalities", a natural extension of income inequality and poverty.This groundbreaking book presents new and fruitful methodology that consitutes a welcome addition to the social sciences. (shrink)

Research on gender inequalities in well-being, attribute lower levels of wellness in women to the burden of multiple role demands, particularly during midlife. Using mostly quantitative measures of subjective well-being (SWB), such studies tend to narrow the concept of well-being and overlook the value of in-depth, context-specific inquiry. Work-life balance is also a consistent causative narrative in studies on women's well-being. Yet, such a narrative frequently emphasizes individual agency in a seemingly unattainable quest, implying an anomaly on how women then (...) actually manage to sustain their well-being. The present study therefore explored the work-life experiences of women in their midlife. The aim was to reach a deeper understanding of the psycho-social dynamics at play in sustaining a psychologically-well self. Meta-theoretically the study built on non-traditional and gendered career models that augment female employees' unique career needs. From a socioanalytic stance, this study investigated secondary data gathered from focus groups, which were based on the socioanalytic method of social dream drawing. The data originated from four sessions of social dream drawings, in which the researcher as participant-observer, investigated work-life experiences of seven women. The gathered information was managed through Atlas.ti and processed through phenomenological hermeneutic analysis. The findings contribute to the discourse on women and well-being and give insight into the application of a unique socioanalytic methodology to research in this field from a gendered perspective. Results were analyzed by developing metaphors from the data. These metaphors reflect women's well-being as they present three unique career needs, namely challenge, balance, and authenticity, during their midlife career stage. Findings show how women's projective identification with outdated gender role norms may perpetuate a gendered notion of work-life balance, which consistently challenges their well-being. Projective identifications are evident in introjected feelings of self-doubt, self-stereotyping, and in the tension between female employees' personal and social identities. The study ultimately points to well-being as a dynamic phenomenon, which women sustain by engaging both positive and negative experiences and through identity tasks such as self-awareness, self-authorisation, self-regard, and authentic self-expression. These findings highlight the importance of creating self-reflective space in organizations to facilitate women's psychological well-being. (shrink)

The aim of this paper is to describe the lack of equipment in a neighborhood of Palma de Mallorca, Foners in regard to their population. New residents with migration phenomenon presents a situation of inequality that can lead to negative social processes but were offset requirements. The description is carried out in the area intended to be a claim on integration from a multicultural perspective. A collection of data detailing the shortcomings and proposes targets for intervention through a (...) plan of rehabilitation in the territory. (shrink)

Whether an individual doctoral study or a large-scale multidisciplinary project, researchers working across cultures face particular challenges around power, identity, and voice, as they encounter ethical dilemmas which extend beyond the micro-level of the researcher-researched relationship. In using a cross-cultural perspective on how to conceptualise research problems, collect data, and disseminate findings in an ethical manner, they also engage with the geopolitics of academic writing, language inequalities, and knowledge construction within a globalised economy. It is increasingly recognised that existing (...) ethical codes and paradigms either do not sufficiently address such issues or tend to be rather restrictive and insensitive to multiple and complex cultural and contextual differences. This book extends our understanding of the ethical issues and dilemmas faced by researchers in comparative and international education. It asks what the relevance of postcolonial theory is for understanding research ethics in comparative and international education; whether Western ethical practices in qualitative social research are incompatible with cultures outside the West; how a ‘situated’ approach can be developed for exploring research ethics across cultures and institutions; and how ‘informed consent’ can be negotiated when the process appears to contradict community values and practices. In sharing experiences from a wide range of cultural and institutional contexts, the authors offer both theoretical resources and practical guidance for conducting research ethically across cultures. This book was originally published as a special issue of _Compare: A Journal of Comparative and International Education. _. (shrink)

Background Social inequities in the healthcare system threaten global health. Efforts to establish equity in healthcare is a key goal of healthcare systems worldwide. Social justice is a basic value of the nursing profession that always merits attention. Objective This study aimed to identify and explain the processes of the nursing profession’s participation in establishing social justice in healthcare system. Research design and methods This qualitative study was conducted using the grounded theory method. Participants and research context Data were (...) collected through in-depth, semi-structured, individual interviews with 26 participants, 23 of whom were members of the nursing profession. Sampling started purposefully and, then, continued with theoretical sampling. Field notes were also taken for data collection. Data analysis was performed using Corbin and Strauss’ 2015 method. Ethical considerations The research was approved by the Ethics Committee of Urmia University of Medical Sciences in Iran. Findings The “Professional Dynamics in the Path of Justice” was the study’s core category. This theory is the result of nine main categories: “inefficient professional authority,” “social justice, a neglected component in education,” “clinical concerns, barriers to nurses’ presence in society,” “individual input reserves to facilitate social justice,” “inadequate maturity of the profession in the path of equity in health,” “promoting justice in clinical practice,” “a tendency to community-oriented profession,” “use of personal approaches for justice promotion,” and “emerging justice-expanding nursing.” These categories cover the underlying factors, strategies, and outcomes of the nursing profession’s participation in establishing social justice process in healthcare. Conclusion The theory of professional dynamics in the path of justice can be used as a practical guide to describe the role of nurses in establishing social justice. Further studies with a quantitative approach to applying this theory are recommended. (shrink)

Although the ‘metaverse’ is still the feverish pipedream of tech companies and venture capitalists, it is also a powerful imaginary for channelling enormous resources towards deepening and extending ongoing processes of digitalization and datafication. It is thus likely that an increasing amount of human activity – both professional as well as leisure-related – will take place in metaversal spaces, and that the paradigm of ‘Big Data’ is about to be expanded with massive amounts of new and varied or multimodal (...) data that capture even more (corporeal, sensorial, spatial, and temporal) information produced by and about people as well as their interactions as these unfold in (mixed) spaces over time. Much like the rise of big data, the emergence of metaversal data gives rise to important tensions and issues. From the perspective of critical data studies, media studies, and science and technology studies, this paper spotlights the role of data obtained about, in, and through metaverse technologies and environments as well as how this can be understood as both an intensification and extension of the datafication of social life, the quantification of research methodologies, and the exacerbation of social inequality. We discuss these issues through a series of six provocations that each address a distinct tension between metaverse data, the production of knowledge, research methodologies, and various social issues that are central to the datafication of contemporary societies. (shrink)

Community psychologists address social inequalities and problems by employing ecological principles, multiple methodologies, and participatory approaches to empower individuals, organizations, and communities to organize action and systems change. This article aims to contribute to mixed methods literature by presenting three models of mixed methods participatory research across a variety of geographic and sociocultural contexts. The models outline participatory processes and points of qualitative and quantitative data integration. Challenges related to the interplay between participatory approaches and mixed methods studies as (...) well as implications on social science research are discussed. (shrink)

The study of social, ethical, and political issues from a naturalistic perspective has been pervasive in social sciences and the humanities in the last decades. This articulation of empirical research with philosophical and normative reflection is increasingly getting attention in academic circles and the public spheres, given the prevalence of urgent needs and challenges that society is facing on a global scale. The contemporary world is full of challenges or what some philosophers have called ‘existential risks’ to humanity. Nuclear wars, (...) natural and/or engineered pandemics, climate change, global totalitarianism, and emergent technologies, are some of the challenges mentioned by many authors devoted to the study of long-term potential risks for the survival of the human species. However, while there are many reasons to be a pessimist about the future of humanity, there is also a lot of ink wasted in showing that the world today is far better than we had in the past and also that there have been many instances of social and moral progress in the last centuries. Some authors have even claimed that “we have made more progress over the last 100 years than in the first 100,000”. According to ‘our world in data’, some of the most relevant advances of humanity in the last centuries have to do with the reduction of poverty and/or inequality, better health and security, the decline of violence and war, and the development of democracy and institutional mechanisms to guarantee individual freedom and rights. Yet, there is a more concrete concern that our world faces nowadays, and requires a particularly detailed analysis. In a few words, the advance in information and communication technologies, the huge volume of people migration because of prevalent instances of global inequality, and the reality of an interconnected world that just mirrors an extensive history of massive human intergroup relations open the question about the feasibility of social and moral progress in the contexts of diverse, multicultural, and unequal societies. This makes it crucial to reflect not only on whether human societies may keep advancing on a path of social progress, but how this can be achieved by addressing the challenges of inequality and potential intergroup conflict. This concern closely relates to the further consolidation of democratic values and the achievement of a more generalized consideration of the equal moral value of human individuals far from group, ethnic, or collective distinctions. This vision of progress follows the moral convictions that have been considered right and worthy to be pursued by most ethical theories explored by philosophers and social scientists so far. This work aims to contribute to the study of the mechanisms and feasibility of social and moral progress grounded on the precept of human equality and is guided by the idea that social and moral progress in a plural world requires the accomplishment of a more democratic and tolerant society. These forms of progress have already been defined by philosophers Allen Buchanan and Russel Powell as inclusivist forms of moral progress. According to these authors, inclusivist moral progress is featured by the transformation of moral judgments, motivations, and norms guided by the rejection of “group-based restrictions on moral standing and moral status” (2018). The work of Buchanan and Powell is fundamental for the argumentation developed in this work since they have pioneered a more complex debate in the field of evolutionary social sciences and philosophical anthropology. In brief, these authors have inquired how human nature, conceptualized by the advances in evolutionary thinking and the empirical sciences, is related to our moral convictions and the possibilities that we have to establish certain forms of social and moral progress. The work of Buchanan and Powell contributes to the debate on moral progress by incorporating empirically-informed concepts and arguments. With this objective in mind, they develop their discussion around a generalized tension between exclusivist and inclusivist forms of moral progress. This tension revolves around the question of whether and to what extent human moral concerns, motivations, and norms, are limited or bounded by social identities, group thinking, or collective values. This question is at the center of this work. In other words, I aim to answer whether and to what extent the nature of our social and moral cognition hinders or enables the development of inclusivist forms of morality and moral progress. As I mentioned so far, the distinction between exclusivist and inclusivist forms of morality has a practical implication and facilitates the reflection on the mechanisms and feasibility of concrete forms of progress based on the precept of human equality, which is the road to progress that we should follow according to most ethical theories. The distinction between exclusivist and inclusivist morality is not used here as a form of summarizing highly divergent descriptive approaches to morality, but as a way to address the practical implications of morality research, particularly around the question of the feasibility of social forms of progress based on the precept of equality and tolerance. My objective then has less to do with offering a conceptualization of human morality or with the proposition of a new ethical perspective. Instead, I aim to identify, from an empirically informed perspective, what enables the achievement of egalitarian forms of social progress, to subsequently offer a normative reflection about what we should do if we want to accomplish such inclusivist forms of progress. This task is of great relevance, having in mind that some theoretical proposals on the matter have claimed that human prosocial behavior and morality are constrained by exclusivist fixed tendencies as a product of our evolutionary history. According to these views, human morality is a group-centered cognitive and behavioral expression that has severe limits in its scope and extent, which hinders in the end the emergence of inclusivist forms of moral concerns and behaviors. These claims align with the philosophical intuition about the ‘dissociation of empathy’, or the fact that human individuals tend to express empathy and sympathy preferably for members of their group whereas their empathic and moral concern and recognition for outgroup individuals tend to be reduced or eliminated in real-life social interactions. Multiple theorists have expressed, however, that these assumptions are wrong for empirical and philosophical reasons, which results in a serious challenge to the conception of human morality as exclusivist by nature. Furthermore, simple intuition and practical experience constantly show us that human individuals can develop and endorse a broad spectrum of moral considerations and adopt an arguably inclusivist stance concerning the kind of persons or agents that deserve moral concern. Moreover, and adopting a historical perspective, the expansion of cultural and commercial exchanges, the consolidation of democracy, the development of welfare states, or the emergence of institutions based on the concept of universal human rights, have partially driven human progress based on the impartial concern for the well-being of persons. These historical instances of cultural evolution and institutional design have shown that it is feasible to promote behaviors and attitudes grounded in impersonal prosocial and inclusivist principles. This optimistic perspective, however, still begs the question of the exact relationship between social, cultural, and historical contexts, and the emergence of certain behavioral expressions of inclusivist morality. This is crucial since a great number of human individuals around the world still do not make part of these instances of social progress, and some authors have suggested that such instances of social and moral progress are particularly favored by the contexts of the WEIRD world, that is the world of Western, Educated, Industrialized, Rich, and Democratic societies. Some of these approaches consider moral inclusivity a ‘luxury good’ and follow the ‘dependency thesis’ according to which the expression of moral inclusivity depends on the presence of very concrete material conditions that trigger inclusivist and impersonal prosocial tendencies that human beings are not able to express in threatening contexts without physical security. This thesis is problematic for various reasons and has led to incomplete explanations about the enabling and causal factors of inclusivist moral progress, as well as unsatisfactory suggestions about what we should do to foster the accomplishment of more generalized instances of progress based on inclusivist concerns. In an attempt to contribute to this debate, the main objective of this thesis is to offer an alternative proposal about the nature of human morality and a more detailed reflection on what we should do if we want to further accomplish such instances of progress. More precisely, this work adopts a particular developmental and constructivist vision of human morality to answer the question of how feasible it is to reach generalized forms of social progress based on the precepts of moral inclusivity. Furthermore, it offers some ideas about what are the most adequate and favorable conditions to foster such progress both at the individual and the collective level. At this point, a preliminary clarification of some starting points is necessary. In the first place, and contrary to what other authors have proposed when debating moral progress from an empirically-based approach, my perspective adopts a radical developmental and constructivist perspective, following particularly the conceptual and empirical ideas of the social-domain theory in moral psychology. From this perspective, morality is a domain of normative and social knowledge that develops and emerges in human interactions. Moral concerns, judgments, and norms are not only the result of the expression of innate adaptive intuitions, nor the product of social conformity and a simple process of mirroring the normativity that communities have established to organize their social life. Human individuals, instead, construct moral concerns and judgments during their situated interactions. More specifically, the constructivist tradition claims that we need to research how moral concerns, judgments, and reasons emerge in social interactions and how human beings construct the content of their moral knowledge in the first place. Based on these ideas, morality is defined here as the result of a constructive process through which human individuals, by the means of constant interactions on a background of mutual respect and recognition, develop evaluative concerns about how we ought to treat others, and how to ‘care’ and ‘respect’ others’ well-being, needs, and vulnerabilities. This developmental-constructivist theory of human psychology contributes to an alternative understanding of the origins of moral variability and informs a very particular normative stance about the most desirable contexts needed for the urgent accomplishment of inclusivist forms of morality in contemporary societies. This is so given that the very same definition of morality adopted presupposes the feature of inclusivity. The main objective of this work is then to argue, based on a developmental perspective, what are the most favorable conditions to foster the development of moral inclusivity and what we should do to accomplish concrete instances of moral progress that truly help us to overcome our most urgent moral challenges. The whole thesis is organized as follows. In part I, I show how received visions about human social evolution have informed conceptions of morality as an adaptive function evolved to solve the challenges of cooperative life. Based on these assumptions, some theories argue that human morality is limited by the boundaries of group thinking, and always obeys the mandates of collective interests and the will of the majority. However, this conception has problematic implications from a normative and ethical perspective. The aim of Chapter 1 is to present this introductory debate in detail. In chapter 2, I consider a relevant amount of scientific evidence that helps to consolidate a more optimistic and inclusivist perspective about the starting conditions of human prosocial behavior. Later, I will summarize some ideas offered to explain the possible evolutionary mechanisms that led to the consolidation of these inclusivist capacities. However, I will also show how evolutionary theories that share the same adaptationist foundations but initially seem relevant to explain the feasibility of moral inclusivity, result incomplete when considering the complexity of moral behavior and its ethical implications. Part II is devoted to presenting a developmental alternative to the adaptationist versions around the starting conditions of morality. In this section, I first summarize the epistemological, conceptual, and empirical basis of a constructivist perspective already proposed by several authors in the last decades. This is the goal of chapter 3. More precisely, I adopt the conceptualization of morality established by the social-domain theory school and clarify its conception of the situated development of moral concerns, motivations, and norms. All these ideas are essential for my argumentation on the feasibility of inclusivist moral progress offered later. Chapter 4 provides a more detailed idea of constructivist thinking about moral development, by analyzing one particular dimension: the development of moral concerns for fairness and the sense of justice in distributive dilemmas. In Part III, I assume a constructivist perspective on morality to contribute to the philosophy of moral progress. In particular, I discuss the implications of such a perspective for the conceptualization of human moral nature and discuss what are the most favorable conditions for moral inclusivity to emerge. Answering that question is of enormous relevance since favoring the transition of human societies towards more inclusivist forms of moral concern and behavior supposes a more generalized accomplishment of our most urgent moral convictions. Previous developmental or culturally-sensible attempts to explore this issue are already on the market. As mentioned before, most authors have approached the topic by situating the cultural evolution and development of (inclusivist) moral progress in the WEIRD world. For instance, some of these authors claim that very concrete material conditions (mostly present in the Western World) have been necessary for triggering inclusivist and impersonal prosocial tendencies that human beings are not able to express in threatening contexts without physical security. Despite their interest in explaining inclusivist morality and the feasibility of inclusivist forms of progress following a naturalistic and culturally situated approach, these theories are problematic for two main reasons. In the first place, most of the authors that explain moral progress tend to focus exclusively on the consolidation of liberal values in the Western world and the underlying adoption of laws, social-epistemic practices, and public narratives about tolerance and inclusivity, as unequivocal signs of inclusivist morality. Nevertheless, there is an enormous distance between the institutional and public support of inclusivist moral values or the construction of public images of tolerance and inclusivity, and the real materialization of impersonal moralities in situated social interactions. Secondly, the variability of human moral behavior is far bigger than most of the theories in moral psychology and moral progress tend to assume. Accordingly, inclusivist and exclusivist forms of morality may develop simultaneously in similar or divergent geographical and socio-ecological environments, including those with harsh conditions such as competition for scarce resources, potential intergroup conflict, and risks of disease transmission. In addition, harsh environmental conditions are usually present in almost all societies around the globe, and the presence of socio-ecological conditions such as physical security and prosperity, predominant in highly resourced populations, do not prevent the existence of exclusivist moral tendencies. My model explores a different perspective on the relationships between cultural, institutional, and historical factors, and the situated development of human morality. This supposes a clear distinction from previous approaches to the matter since it offers a different view on what we should do to pursue further instances of inclusivist social progress. In the fifth chapter, I first analyze the proposals of some defenders of the ‘dependency’ theory. The attention is focused on the ‘Evolutionary Developmental Model’ proposed by Buchanan and Powell (2018). Based on a critique of this approach, I will argue that to explain the evolution and development of human morality in its multiple manifestations, it is essential to put focus on social interactions. This also involves a different perspective on human-environment relations that in line with a constructivist worldview makes an innovative contribution to the philosophy of moral behavior and moral progress. Later, in the sixth chapter, I will define my alternative relational view of inclusivist morality and I will offer my view on how to establish favorable conditions that make inclusivist morality possible. Complementing the constructivist approach, my conception is based on the essential role of equality and individuality and on how moral inclusivity is favored if moral concerns do not develop driven by the accomplishment of group-centered, binding, and communitarian concerns and values. In brief, my relational model suggests that the accomplishment of moral inclusivity not only depends on the overall achievement of certain levels of physical security or economic prosperity. Instead, its development is favored by transforming the interactional contexts in which moral concerns towards autonomy and individuality emerge. In arguing so, I will need to start with a critique of contemporary situated and embodied approaches in ethics. Then, I will show how societies guided by the accomplishment of group-centered values of power, dominance, and relational inequality tend to express exclusivist moral behaviors, while individualistic societies tend to be more inclusivist. Starting from this diagnosis, my final attempt is then to reflect on which are the best conditions for the moral valuation of individuality to emerge and what we should do to promote the accomplishment of moral inclusivity at the societal level. (shrink)

Among the most striking developments in the process of economic transition has been the very diverse paths these economies have taken with respect to income distribution, with some maintaining degrees of equality similar to the socialist era while others now exhibit degrees of inequality noticeably greater than any advanced market capitalist economies. We argue that these outcomes reflect divergent dynamics with multiple equilibria wherein the pattern of income distribution interacts with the level of corruption and the breakdown of the (...) public sector and social safety nets, with the possibility of societies going sharply in one direction or another. This argument is supported by empirical data linking income inequality and measures of the size of the unofficial economy in a set of fifteen transitional economies. (shrink)

Youth constitute one third of total population in Nepal. This paper looks at the work and motivation of youth volunteers in disaster management in Nepal in order to evaluate how these ideas and values among the youth played roles in the re-construction of the Nation from the 2015 Earthquake. The study used primary data through group interviews with volunteers of Youth’s UNESCO Club in Kathmandu city who were actively involved in disaster-relief programs at Sindhupalchowk, Kathmandu, Bhaktapur and Ramechhap districts, (...) together with key informant interviews and case studies. Findings from the study shows most youth joined in the volunteer program on their own initiative. They are concerned about issues including personal safety, quality and appropriate training, coordination, wrong attitudes, gender inequality and media coverage. People engaging in similar acts may have different underlying motivations for doing so. Findings from the study shows that mostly, the volunteers are motivated based on their values which are welfare of others or unselfishness. Other underlying motives include opportunity to learn, career prospects, social pressure, to reduce feelings of guilt and enhance one‘s self-esteem. Activities for taking forward their work includes ensuring quality and appropriate training and appropriate gears and tools for search and rescue work, awareness raising, recognition and visibility of their work. Psychosocial counseling is important after rescue operations, as it is important to heal the psychological wounds after an emergency or a critical event. The study suggests involving volunteers in all stages of disaster management planning process. It is a matter of combined responsibility that volunteers are recognized for the contributions and their needs are ensured for them to accomplish their efforts successfully. (shrink)

To shorten the travel time and improve comfort, the automatic train driving system is considered to replace manual driving. In this article, an automatic control method of computer application data-processing system based on artificial intelligence is proposed. An automatic train operation (ATO) introduced the structure and function of an autopilot system (train), optimized the train running on the target curve, introduced the basic principle of fuzzy generalized predictive control (PC) algorithm, and combined with the characteristics of ATO system (...) design the speed controller based on optimization algorithm, the target curve to make use of the designed controller to track and simulation validation. The experimental outcomes demonstrate that when the train runs to 90 s, the displacement difference reaches about 40 m, which proves that the fuzzy PC has better displacement tracking, punctual arrival, and higher stopping accuracy. (shrink)

Background: Nurses and nursing students appear vulnerable to moral distress when faced with ethical dilemmas or decision-making in clinical practice. As a result, they may experience professional dissatisfaction and their relationships with patients, families, and colleagues may be compromised. The impact of moral distress may manifest as anger, feelings of guilt and frustration, a desire to give up the profession, loss of self-esteem, depression, and anxiety. Objectives: The purpose of this review was to describe how dilemmas and environmental, relational, and (...) organizational factors contribute to moral distress in undergraduate student nurses during their clinical experience and professional education. Research design: The research design was a systematic literature review. Method: The search produced a total of 157 articles published between 2004 and 2014. These were screened with the assessment sheet designed by Hawker and colleagues. Four articles matched the search criteria (one quantitative study and three qualitative), and these were separately read and analyzed by the researchers. The process of review and analysis of the data was supervised by a colleague experienced in moral distress who provided an independent quality check. Ethical consideration: Since this was a systematic review, no ethical approval was required. Findings: From the analysis, it emerged that inequalities and healthcare disparities, the relationship with the mentor, and students’ individual characteristics can all impact negatively on the decisions taken and the nursing care provided, generating moral distress. All these factors condition both the clinical experience and learning process, in addition to the professional development and the possible care choices of future nurses. Conclusion: Few studies dealt with moral distress in the setting of nurse education, and there is a knowledge gap related to this phenomenon. The results of this review underline the need for further research regarding interventions that can minimize moral distress in undergraduate nursing students. (shrink)

This paper critically examines the extent to which health promoting wearable technologies can provide people with greater autonomy over their health. These devices are frequently presented as a means of expanding the possibilities people have for making healthier decisions and living healthier lives. We accept that by collecting, monitoring, analysing and displaying biomedical data, and by helping to underpin motivation, wearable technologies can support autonomy over health. However, we argue that their contribution in this regard is limited and that—even (...) with respect to their ‘autonomy enhancing’ potential—these devices may deliver costs as well as benefits. We proceed by rehearsing the distinction that can be drawn between procedural autonomy and substantive-relational autonomy. While the information provided by wearable technologies may support deliberation and decision-making, in isolation these technologies do little to provide substantive opportunities to act and achieve better health. As a consequence, wearable technologies risk generating burdens of anxiety and stigma for their users and reproducing existing health inequalities. We then reexamine the extent to which wearable technologies actually support autonomous deliberation. We argue that wearable technologies that subject their users to biomedical and consumerist epistemologies, norms and values also risk undermining processes of genuinely autonomous deliberation. (shrink)

Amongst other methods, political campaigns employ microtargeting, a specific technique used to address the individual voter. In the US, microtargeting relies on a broad set of collected data about the individual. However, due to the unavailability of comparable data in Germany, the practice of microtargeting is far more challenging. Citizens in Germany widely treat social media platforms as a means for political debate. The digital traces they leave through their interactions provide a rich information pool, which can create (...) the necessary conditions for political microtargeting following appropriate algorithmic processing. More specifically, data mining techniques enable information gathering about a people's general opinion, party preferences and other non-political characteristics. Through the application of data-intensive algorithms, it is possible to cluster users in respect of common attributes, and through profiling identify whom and how to influence. Applying machine learning algorithms, this paper explores the possibility to identify micro groups of users, which can potentially be targeted with special campaign messages, and how this approach can be expanded to large parts of the electorate. Lastly, based on these technical capabilities, we discuss the ethical and political implications for the German political system. (shrink)

Previous studies show that medical students in clinical training face ethical problems that are not often discussed in the literature. In order to make teaching timely and relevant for them, it is important to understand what medical students perceive as ethical problems, as various factors may influence their perception, including cultural differences and working environment. The purpose of this qualitative study was to explore students’ perceptions of what an ethical problem is, during their clinical training in the hospital, and compare (...) the results from two different countries. We observed a total of eighteen ethics group discussions and interviewed fifteen medical students at two medical schools, in Indonesia and the Netherlands. Data were interpreted and analyzed using content analysis. We found that students in both settings encounter problems which are closer to their daily work and responsibilities as medical students and perceive these problems as ethical problems. Indonesian students perceived substandard care and inequity in healthcare as ethical problems, while Dutch students perceived that cases which are not matters of life and death are less worthy to discuss. Our study suggests that there might be a gap between ethical problems that are discussed in class with teachers, and problems that students actually encounter in practice. Teachers should be aware of the everyday situations in clinical training which may be perceived by students as ethically problematic and should acknowledge and discuss these ethical problems with students as part of the learning processes in ethics education. (shrink)

Precision medicine is an emerging approach to individualized care. It aims to help physicians better comprehend and predict the needs of their patients while effectively adopting in a timely manner the most suitable treatment by promoting the sharing of health data and the implementation of learning healthcare systems. Alongside its promises, PM also entails the risk of exacerbating healthcare inequalities, in particular between ethnoracial groups. One often-neglected underlying reason why this might happen is the impact of structural racism on (...) PM initiatives. Raising awareness as to how structural racism can influence PM initiatives is paramount to avoid that PM ends up reproducing the pre-existing health inequalities between different ethnoracial groups and contributing to the loss of trust in healthcare by minority groups. We analyse three nodes of a process flow where structural racism can affect PM’s implementation. These are: the collection of biased health data during the initial encounter of minority groups with the healthcare system and researchers, the integration of biased health data for minority groups in PM initiatives and the influence of structural racism on the deliverables of PM initiatives for minority groups. We underscore that underappreciation of structural racism by stakeholders involved in the PM ecosystem can be at odds with the ambition of ensuring social and racial justice. Potential specific actions related to the analysed nodes are then formulated to help ensure that PM truly adheres to the goal of leaving no one behind, as endorsed by member states of the United Nations for the 2030 Agenda for Sustainable Development. Structural racism has been entrenched in our societies for centuries and it would be naïve to believe that its impacts will not spill over in the era of PM. PM initiatives need to pay special attention to the discriminatory and harmful impacts that structural racism could have on minority groups involved in their respective projects. It is only by acknowledging and discussing the existence of implicit racial biases and trust issues in healthcare and research domains that proper interventions to remedy them can be implemented. (shrink)

Aim: The aim of this review is to examine the ways in which the concept of moral distress has been delineated and deployed in the argument-based nursing ethics literature. It adds to what we already know about moral distress from reviews of the qualitative and quantitative research. Data sources: CINAHL, PubMed, Web of Knowledge, EMBASE, Academic Search Complete, PsycInfo, Philosophers’ Index and Socindex. Review methods: A total of 20 argument-based articles published between January 1984 and December 2013 were analysed. (...) Results: We found that like the empirical literature, most authors in this review draw on Jameton’s original definition and describe moral distress in psychological–emotional–physiological terms. They also agree that moral distress is linked to the presence of some kind of constraint on nurses’ moral agency, and that it is best understood as a two-staged process that can intensify over time. There is also consensus that moral distress has an important normative meaning, although different views concerning the normative meaning of moral distress are expressed. Finally, the authors generally agree that moral distress arises from a number of different sources and that it (mostly) affects negatively on nurses’ personal and professional lives and, ultimately, harms patients. However, despite this consensus, many authors take issue with the way in which moral distress is conceptualized and operationalized. Moreover, while some worry that identifying nurses as a group of health professionals whose voices are ignored or marginalized might disempower nurses and encourage them to avoid their moral responsibilities, others take situations involving moral distress as indicative of more fundamental, structural inequities at the heart of contemporary healthcare provision. Conclusion: We conclude that research on moral distress in nursing is timely and important because it highlights the specifically moral labour of nurses. However, we suggest that significant concerns about the conceptual fuzziness and operationalization of moral distress also flag the need to proceed with caution. (shrink)

Nearly 400 million adults have been vaccinated against COVID-19. Children have been excluded from the vaccination programmes owing to their lower vulnerability to COVID-19 and to the special protections that apply to children’s exposure to new biological products. WHO guidelines and national laws focus on medical safety in the process of vaccine approval, and on national security in the process of emergency authorisation. Because children suffer much from social distancing, it is argued that the harms from containment measures should be (...) factored in a broader perspective on the good of the child. Considering the available knowledge on the disease, vaccine, and coping strategies, the decision about vaccine access to children is a public responsibility. The ultimate choice is a matter of paediatric informed consent. Moreover, jurisdictions that permit non-participation in established childhood vaccination programmes should also permit choice of vaccines outside of the approved programmes. Even if vaccine supply is too short to cover the paediatric population, the a priori exclusion of children is unjust. It may also exacerbate local and global inequalities. The second part of the paper delineates a prudent and ethical scheme for gradual incorporation of minors in vaccination programmes that includes a rigorous postvaccination monitoring. This is a theoretical paper in ethics that uses the Pfizer vaccine as a stock example, without discussing possible differences among existing vaccines. The key purpose is reflection on the good of the child in emergencies and vaccine policymaking. All data relevant to the study are included in the article and in its refernces. (shrink)