Previous chapter In her book Die Form des Werdens: Eine Kulturgeschichte der Embryologie, 1760-1830, Janina Wellmann claims that around 1800 the concept of rhythm has emerged and penetrated the entire Western culture. In literature, in theoretical reflection on art, in philosophy, but especially in the newest life sciences, rhythm would have become a common scientific “Paradigm” or better yet, a new “Episteme”. It would be great if it is true. But I think - Sur le concept de rythme – Nouvel (...) article. (shrink)

This work copiles key metrics to measure and evalute the impact of science and technology on academia, industry and government. it covers such topics as ...

Citation metrics are statistical measures of scientific output that draw on citation indexes. They purport to capture the impact of scientific articles and the journals in which they appear. As evaluative tools, they are mostly used in the natural sciences, but they are also acquiring an important role in the humanities. While the strengths and weaknesses of citation metrics are extensively debated in a variety of fields, they have only recently started attracting attention in the philosophy of (...) class='Hi'>science literature. This paper takes a further step in this direction and presents an analysis of citation metrics from the perspective of a Kuhnian model for the development of science. Starting from Gillies’ argument against the use of citation metrics for scientific research (2008), this paper shows that citation metrics interfere with the development of normal science in certain fields or subfields. The main issue is that citation metrics do not take field-specific differences into account, thereby selectively favoring some fields and arbitrarily hindering the development of others. In other words, this paper shows that current citation metrics fail to “carve science at its joints”. In light of this, the paper cautions against their use for evaluative purposes. (shrink)

This paper examines one aspect of the legacy of the Value-Free Ideal in conservation science: the view that measurements and metrics are value-free epistemic tools detached from ideological, ethical, social, and, generally, non-epistemic considerations. Contrary to this view, I will argue that traditional measurement practices entrenched in conservation are in fact permeated with non-epistemic values. I challenge the received view by revealing three non-epistemic assumptions underlying traditional metrics: (1) a human-environment demarcation, (2) the desirability of a people-free (...) landscape, and (3) the exclusion of cultural diversity from biodiversity. I also draw a connection between arguments for retaining traditional metrics to “scientific colonialism,” exemplified by a fortress conservation model. I conclude by advocating for abandoning the myth of the intrinsic value-freedom of measurement practices and embracing metrics aligned with societal and scientific goals. (shrink)

This article grasps the coercive character often associated to research impact metrics, in the wake of the ever-growing use of quantitative indicators for the evaluation of the academic performance. It does so by taking a Marxian perspective which underscores what are the historically determined attributes of academic labour that the functioning of impact metrics embodies, unfolding thereby what ‘impact’ really means concerning said social attributes of the scientific enterprise. Science communication via social media, and the array of (...) metrics and indicators surrounding it, known as alternative metrics or altmetrics, are taken as a case study. This study concludes that the coercive nature of research impact metrics is grounded on the private and independent character taken by social labour in capitalist production, an historically determined form of the social reproduction that asks for academic production to be organised and regulated in an indirect fashion, behind the backs of producers themselves – in the particular case of science, by means of quantitative indicators and performance metrics. As research impact metrics bear the power to determine how and to what extent academic labourers contribute to the general productive process, their will and consciousness become thus subsumed to such reified social subject. (shrink)

Universities and funders in many countries have been using Journal Impact Factor (JIF) as an indicator for research and grant assessment despite its controversial nature as a statistical representation of scientific quality. This study investigates how the changes of JIF over the years can affect its role in research evaluation and science management by using JIF data from annual Journal Citation Reports (JCR) to illustrate the changes. The descriptive statistics find out an increase in the median JIF for the (...) top 50 journals in the JCR, from 29.300 in 2017 to 33.162 in 2019. Moreover, on average, elite journal families have up to 27 journals in the top 50. In the group of journals with a JIF of lower than 1, the proportion has shrunk by 14.53% in the 2015–2019 period. The findings suggest a potential ‘JIF bubble period’ that science policymaker, university, public fund managers, and other stakeholders should pay more attention to JIF as a criterion for quality assessment to ensure more efficient science management. (shrink)

The idea that sentences can be closer or further apart in meaning is highly intuitive. Not only that, it is also a pillar of logic, semantic theory and the philosophy of science, and follows from other commitments about similarity. The present paper proposes a novel way of comparing the ‘distance’ between two pairs of propositions. We define ‘\ is closer in meaning to \ than \ is to \’ and thereby give a precise account of comparative propositional similarity facts. (...) Notably, our definition eschews metric assumptions, which are unrealistic in most applications of interest. (shrink)

In the mid twenty-tens, many major food companies committed to sustainably source their priority ingredients, including North American commodity crops. With deadlines set for the decade’s end, companies joined multi-stakeholder initiatives and developed standards, metrics, and other assessment tools to help them track and drive progress. In short, they embarked on the sort of corporate supply chain governance that agri-food scholars have long studied. But how would this governance happen, especially in the commodity supply chains where companies knew and (...) controlled little about upstream production? Treating supply chain governance as not just a corporate undertaking but also the work of mid-level sustainability managers, this paper examines the practical skills and knowledge, or mētis, employed by managers in their efforts to win the support of colleagues, farmers, and other supply chain actors. This analysis provides insight into how and why food companies’ approaches to governing agricultural sustainability have changed since they set their 2020 sourcing goals. More broadly, it highlights the contingent nature of their governance. (shrink)

The issue of plagiarism—claiming credit for work that is not one’s own, rightly, continues to cause concern in the academic community. An analysis is presented that shows the effects that may arise from metrics-based assessments of research, when credit for an author’s outputs (chiefly publications) is given to an institution that did not support the research but which subsequently employs the author. The incentives for what is termed here “institutional plagiarism” are demonstrated with reference to the UK Research Assessment (...) Exercise in which submitting units of assessment are shown in some instances to derive around twice the credit for papers produced elsewhere by new recruits, compared to papers produced ‘in-house’. (shrink)

Citation metrics are statistical measures of scientific outputs that draw on citation indexes. They purport to capture the impact of scientific articles and the journals in which they appear. As evaluative tools, citation metrics are mostly used in the natural sciences, but they are also acquiring an important role in the humanities, thereby affecting the development of research programs and institutions. While the strengths and weaknesses of citation metrics are extensively debated in a variety of fields, they (...) have only recently started attracting attention in the philosophy of science. This paper takes a further step in this direction and presents an analysis of citation metrics from the perspective of a Kuhnian model for the development of science. To do that, it starts with an overview of citation metrics both at the general level and at the level of specific metrics, such as Impact Factor, h-index, and field-specific indicators. After that, it engages with Gillies’ argument against the use of citation metrics for scientific research. According to Gillies (2008), citation metrics tend to over-protect normal science at the expenses of revolutionary science. This paper shows that, under certain conditions, citation metrics can in fact arbitrarily hinder the development of normal science and, in light of this, it cautions against using them for evaluative purposes. (shrink)

As artificial intelligence (AI) deployment is growing exponentially, questions have been raised whether the developed AI ethics discourse is apt to address the currently pressing questions in the field. Building on critical theory, this article aims to expand the scope of AI ethics by arguing that in addition to ethical principles and design, the organizational dimension (i.e. the background assumptions and values influencing design processes) plays a pivotal role in the operationalization of ethics in AI development and deployment contexts. Through (...) the prism of critical theory, and the notions of underdetermination and technical code as developed by Feenberg in particular, the organizational dimension is related to two general challenges in operationalizing ethical principles in AI: (a) the challenge of ethical principles placing conflicting demands on an AI design that cannot be satisfied simultaneously, for which the term ‘inter-principle tension’ is coined, and (b) the challenge of translating an ethical principle to a technological form, constraint or demand, for which the term ‘intra-principle tension’ is coined. Rather than discussing principles, methods or metrics, the notion of technical code precipitates a discussion on the subsequent questions of value decisions, governance and procedural checks and balances. It is held that including and interrogating the organizational context in AI ethics approaches allows for a more in depth understanding of the current challenges concerning the formalization and implementation of ethical principles as well as of the ways in which these challenges could be met. (shrink)

The physical and relational structure of the biologic continuum (both internal and external to the organism) creates the information signature that is the basis for the origination of meaning in the living system. A meaning metric can be grounded in the significance of that information to the stability of the system during the process of adaptive reconciliation of divergences from the steady state condition. From this perspective, an information-theoretic formulation of the process for translating incident information into adaptive action is (...) proposed that can be practically used in defining and quantifying the meaning of that information for the living system. (shrink)

1. Reasoning about action and change, or more generally reasoning about dynamic systems, is not only central to knowledge representation and reasoning but at the heart of computer science (Fisher e...

In 1798, the National Institute and the French minister of foreign relations invited European countries to send delegations of science practitioners to Paris to finalise the values of the metre and the kilogram. This article reads the event as part of a wider attempt to establish the political relevance of international scientific consensus and include scientific exchanges in the diplomatic culture of post-revolutionary Europe. At the end of the 18th century, the scope and methods of both the sciences and (...) diplomacy were being renegotiated. French academicians hoped that the new system of weights and measures would at once facilitate international scientific exchanges and advertise that new authority should be politically invested in savants. During the Directory, part of the political elite hoped to stabilise the Revolution and forge an international order where the Republic could coexist with old regime monarchies. This entailed focusing diplomatic negotiations on commercial development, something a shared metrological system could foster. The conference was the product of the alliance between the two groups. Foreign responses to the project reveal the novelty of the association between scientific discussions and diplomatic negotiations. Furthermore, European savants and governments did not agree that metrological reforms fell primarily under the expertise of science practitioners, rather than under that of trading actors or administrators. The conference did not produce consensus on the suitability of the metric system or on the feasibility of programmes for the unification of weights and measures. It was more successful at promoting precision and rationality as key parameters to assess metrological systems and science practitioners as main experts in the matter. (shrink)

Since summer 2019 there is a new document that defines what in science should be regarded as being one second, one meter, and one kilogram, respectively. It is the ninth edition of the SI Brochure. Compared with older editions, a new definitional approach has been used. The seven base units are now defined by being directly related to a so-called defining constant. The paper discusses the second, the meter, and the kilogram. One odd salient, but nonetheless not discussed, feature (...) of the formulations of the definitions is that, from a purely linguistic point of view, they are circular. That is, symbols for what is to be defined appear also in the defining expressions. However, underneath the circularities there are, appearances notwithstanding, substantially non-circular definitions. The aim of the paper is to uncover these never before presented definitional structures. It is made by means of the two notions absolutely discrete quantities and metrical coordinative definitions. When the true definitional structures become visible, two important substantial metrological facts can be seen. First, the new definition of the kilogram is very much in need of further discussion. Second, contrary to what the Brochure hints at, there is no need to try to exchange the atomic parameter used in the definition of the second. (shrink)

Computational social science, as an emerging interdisciplinary discipline, is a field ushered in by long-term development of traditional social science. It is committed to supplying data thinking, resources, and analytics to study human social behavior and social operation laws to accurately grasp and judge the developing path of the discipline, which is of great significance to promote the innovation and development of social sciences. This study is to conduct a systematic quantitative analysis from a bibliometric perspective, aiming to (...) provide a reference for scholars to explore the paths and changing rules in the field. We use the relevant literature in Web of Science as the dataset. After eliminating journal calls and irrelevant literature, R language and SciMAT tools are used to visualize and analyze the number of articles, keyword clustering, keyword cooccurrence network, and theme evolution, so as to summarize and sort out the paths of computational social science research. The study found that the annual volume of publications has been gradually increasing and will probably remain active in the next few years with high productivity. Subject themes in different periods are diversified, and the evolutionary relationship is found complex as well. Besides, as a cross discipline, scientific knowledge from different fields cross collides and couples with each other in the big data environment, changing the traditional concept of computational social science and forming a new development path. Recently, the emergence of “big data+” has promoted the rise of new subject areas, making the development of new disciplines a reality. (shrink)

Alternative models of similarity judgments that do not rest on metric space assumptions are known to be better descriptions of actual human behaviour but are ignored by Edelman. The internal spaces he postulates are a convenient fiction for artificial intelligence, but not compatible with what is now known about psychophysics at both behavioural and neurological levels of perceptual processing.

Although digital technologies often receive the bulk of media and academic attention, there is another crucial aspect of the data revolution in agriculture: governance frameworks for collecting and analyzing data. Metrics are increasingly being used to facilitate the collection of data and convert it into useful forms. While there is growing interest in using metrics and data to enhance the sustainability of food and agriculture, there is a lack of research on how metrics are put into practice (...) and to what degree their use leads to improved sustainability. To address this knowledge gap, this article examines the implementation of sustainability metrics in produce agriculture in the United States. Specifically, the focus is on the processes of on-farm metrics use– data generation, data analysis, and data-based decision-making. We find that implementing metrics involves several tensions for farmers, including metrics’ ability to capture the complexity of produce agriculture, how metrics align with farmers’ tacit and experiential knowledge, and the impact of metrics on farmer autonomy. Our findings suggest that for the use of metrics to improve sustainability it is crucial to understand how social, cultural, and material conditions intersect with metrics. To better account for such conditions, farmers need more voice in how metrics are implemented and data is used. (shrink)

This paper addresses some critical issues in the applicability of quantitative performance measures (including bibliometric, economic, and co-occurrence measures) to the assessment of basic research. The strengths and weaknesses of metrics applied as research performance measures are examined. It is concluded that metrics have a useful role to play in the evaluation of research. Each metric employed, whether bibliometric, economic, co-occurrence, or others, brings a new dimension of potential insight to the complex problem of research assessment. However, when (...) used in a stand-alone mode, metrics can be easily misinterpreted and result in misleading conclusions. Metrics should be an integral part of a more comprehensive approach to research evaluation, in which the leading role is assumed by expert peer review. Under this structure, the reviewers must be broadly constituted, so that the technical correctness of the research approaches being taken (doing the job right) can be evaluated by technical experts and the correctness of the research target (doing the right job) can be evaluated as well. This comprehensive approach insures quality in the implementation of existing research paradigms and allows the introduction of revolutionary new research paradigms as well. (shrink)

Rhythmic structure in speech is characterized by sequences of stressed and unstressed syllables. A large body of literature suggests that speakers of English attempt to achieve rhythmic harmony by evenly distributing stressed syllables throughout prosodic phrases. The question remains as to how speakers plan metrical structure during speech production and whether it is planned independently of phonemes. To examine this, we designed a tongue twister task consisting of disyllabic word pairs with overlapping phonological segments and either matching or non‐matching metrical (...) structure. Results showed that speakers had more difficulty producing metrically regular word pairs, compared to irregular pairs; that is, word pairs with irregular meter had faster productions and fewer speech errors in this production task. This finding of metrical regularity inhibiting production is inconsistent with an abstract metrical structure that is planned independently of phonemes at the point of phonological encoding. (shrink)

Experimental observations are often taken in order to assist in making a choice between relevant hypotheses ~H and H. The power of observations in this decision is here metrically defined by information-theoretic concepts and Bayes' theorem. The exact of a new observation to increase or decrease Pr the prior probability that H is true; the power of that observation to modify the total amount of uncertainty involved in the choice between ~H and H: the power of a new observation to (...) reduce uncertainty toward the ideal amount, zero; all these powers are systematically shown to be exact metrical functions ofwhere the numerator is the likelihood of the new observation given H, and the denominator is the “expectedness” of the observation. (shrink)

This book is open access under a CC BY 4.0 license. This timely book addresses the conflict between globalism and nationalism. It provides a liberal communitarian response to the rise of populism occurring in many democracies. The book highlights the role of communities next to that of the state and the market. It spells out the policy implications of liberal communitarianism for privacy, freedom of the press, and much else. In a persuasive argument that speaks to politics today from Europe (...) to the United States to Australia, the author offers a compelling vision of hope. Above all, the book offers a framework for dealing with moral challenges people face as they seek happiness but also to live up to their responsibilities to others and the common good. At a time when even our most basic values are up for question in policy debates riddled with populist manipulation, Amitai Etzioni’s bold book creates a new frame which introduces morals and values back into applied policy questions. These questions span the challenges of jobless growth to the unanswered questions posed by the role of artificial intelligence in a wide range of daily life tasks and decisions. While not all readers will agree with the communitarian solutions that he proposes, many will welcome an approach that is, at its core, inclusive and accepting of the increasingly global nature of all societies at the same time. It is a must read for all readers concerned about the future of Western liberal democracy. Carol Graham, Leo Pasvolsky Senior Fellow, The Brookings Institution and College Park Professor/University of Maryland In characteristically lively, engaging, and provocative style Etzioni tackles many of the great public policy dilemmas that afflict us today. Arguing that we are trapped into a spiral of slavish consumerism, he proposes a form of liberal communitarian that, he suggests, will allow human beings to flourish in changing circumstances. Jonathan Wolff, Blavatnik Chair of Public Policy, Blavatnik School of Government, University of Oxford. (shrink)

Experimental observations are often taken in order to assist in making a choice between relevant hypotheses ∼ H and H. The power of observations in this decision is here metrically defined by information-theoretic concepts and Bayes' theorem. The exact (or maximum power) of a new observation to increase or decrease Pr(H) the prior probability that H is true; the power of that observation to modify the total amount of uncertainty involved in the choice between ∼ H and H: the power (...) of a new observation to reduce uncertainty toward the ideal amount, zero; all these powers are systematically shown to be exact metrical functions of Pr(H) and Pr(o/H)/Pr(o)-1 where the numerator is the likelihood of the new observation given H, and the denominator is the "expectedness" of the observation. (shrink)

This paper focuses on development of a composite diversity index that is appropriate for use in social reporting. Critics of currents methods argue that simplecounts of race or other attributes for measuring diversity are not sufficient for measuring the complexities of a diverse workplace. To address this criticism, broader and more appropriate diversity indices based on probability and multiple measures are demonstrated by applying quantitative models developed in biodiversity and political science research. US IPEDS data, available for more than (...) 4,500 higher education institutions, are used to demonstrate the model. The paper sets the stage for diversity reporting by describing selected reporting frameworks and relevant court rulings. (shrink)

There is a crisis of valuation practices in the current academic life sciences, triggered by unsustainable growth and “hyper-competition.” Quantitative metrics in evaluating researchers are seen as replacing deeper considerations of the quality and novelty of work, as well as substantive care for the societal implications of research. Junior researchers are frequently mentioned as those most strongly affected by these dynamics. However, their own perceptions of these issues are much less frequently considered. This paper aims at contributing to a (...) better understanding of the interplay between how research is valued and how young researchers learn to live, work and produce knowledge within academia. We thus analyze how PhD students and postdocs in the Austrian life sciences ascribe worth to people, objects and practices as they talk about their own present and future lives in research. We draw on literature from the field of valuation studies and its interest in how actors refer to different forms of valuation to account for their actions. We explore how young researchers are socialized into different valuation practices in different stages of their growing into science. Introducing the concept of “regimes of valuation” we show that PhD students relate to a wider evaluative repertoire while postdocs base their decisions on one dominant regime of valuing research. In conclusion, we discuss the implications of these findings for the epistemic and social development of the life sciences, and for other scientific fields. (shrink)

This paper offers a critical analysis of program evaluation in contemporary urban agriculture. Drawing on data from an exploratory study designed at the request of and in collaboration with urban agriculture practitioners in Massachusetts, it describes both their critiques of extant practices of program evaluation and their visions for alternative ways of telling the story of their work. Related, it explores practitioners’ interest in building capacity for policy advocacy, working collectively to create transformative social change, and, related, establishing new kinds (...) of relationships with state and philanthropic funders. Building on scholarship that has observed that urban agriculture is characterized by an internal contradiction—i.e., its simultaneous orientation to “neoliberal” and “radical” agendas —this analysis calls attention, especially, to the complex role of metrics, which may not only entrench neoliberalism in UA organizations, but also provide a mechanism for challenging its assumptions and advancing the radical project of food justice. (shrink)

This paper discusses the relationship between internationalisation, mobility, quality and equality in the context of recent developments in research policy in the European Research Area (ERA). Although these developments are specifically concerned with the growth of research capacity at European level, the issues raised have much broader relevance to those concerned with research policy and highly skilled mobility. The paper draws on a wealth of recent research examining the relationship between mobility and career progression with particular reference to a recently (...) completed empirical study of doctoral mobility in the social sciences (Ackers et al. Doctoral Mobility in the Social Sciences. Report to the NORFACE ERA-Network, 2007). The paper is structured as follows. The first section introduces recent policy developments including the European Charter for Researchers and Code of Conduct for the Recruitment of Researchers and the European Commission’s Green Paper on the ERA. The discussion focuses on concerns around the definition of ‘mobility’ and the tendency (in both policy circles and academic research) to conflate different forms of mobility and to equate these with notions of excellence or quality. Scientific mobility is shaped as much by ‘push’ factors (limited opportunity) as it is by the ‘draw’ of excellence. Scientists are exercising a degree of ‘choice’ within a specific and individualised framework of constraints. The following sections consider some of the ‘professional’ and ‘personal’ factors shaping scientific mobility and the influence that these have on the relationship between mobility, internationalisation and excellence. The paper concludes that mobility is not an outcome in its own right and must not be treated as such (as an implicit indicator of internationalisation). To do so contributes to differential opportunity in scientific labour markets reducing both efficiency and equality. (shrink)

Professor Grünbaum's much-discussed refutation of Zeno's metrical paradox turns out to be ad hoc upon close examination of the relevant portion of measure theory. Although the modern theory of measure is able to defuse Zeno's reasoning, it is not capable of refuting Zeno in the sense of showing his error. I explain why the paradox is not refutable and argue that it is consequently more than a mere sophism.

Figurative drawing is a skill that takes time to learn, and it evolves during different childhood phases that begin with scribbling and end with representational drawing. Between these phases, it is difficult to assess when and how children demonstrate intentions and representativeness in their drawings. The marks produced are increasingly goal-oriented and efficient as the child’s skills progress from scribbles to figurative drawings. Pre-figurative activities provide an opportunity to focus on drawing processes. We applied fourteen metrics to two different (...) datasets (_N_ = 65 and _N_ = 344) to better understand the intentional and representational processes behind drawing, and combined these metrics using principal component analysis (PCA) in different biologically significant dimensions. Three dimensions were identified: efficiency based on spatial metrics, diversity with color metrics, and temporal sequentiality. The metrics at play in each dimension are similar for both datasets, and PCA explains 77% of the variance in both datasets. Gender had no effect, but age influenced all three dimensions differently. These analyses for instance differentiate scribbles by children from those drawn by adults. The three dimensions highlighted by this study provide a better understanding of the emergence of intentions and representativeness in drawings. We discussed the perspectives of such findings in comparative psychology and evolutionary anthropology. (shrink)

Reports of the Intergovernmental Panel on Climate Change (IPCC) employ an evolving framework of calibrated language for assessing and communicating degrees of certainty in findings. A persistent challenge for this framework has been ambiguity in the relationship between multiple degree-of-certainty metrics. We aim to clarify the relationship between the likelihood and confidence metrics used in the Fifth Assessment Report (2013), with benefits for mathematical consistency among multiple findings and for usability in downstream modeling and decision analysis. We discuss (...) how our proposal meshes with current and proposed practice in IPCC uncertainty assessment. (shrink)

The Robertson–Walker (RW) metric allows us to apply general relativity to model the behavior of the Universe as a whole (i.e., cosmology). We can properly interpret various cosmological observations, like the cosmological redshift, the Hubble parameter, geometrical distances, and so on, if we identify fundamental observers with individual galaxies. That is to say that the interpretation of observations of modern cosmology relies on the RW metric. The RW model satisfies the cosmological principle in which the 3-space always remains isotropic and (...) homogeneous. One can derive the cosmological redshift relation from this condition. We show that it is still possible for us to obtain consistent results in a specific time-varying speed-of-light model without spoiling the success of the standard model. The validity of this model needs to be determined by observations. (shrink)

We show that the formulations of non-relativistic quantum mechanics can be derived from an extended least action principle. The principle can be considered as an extension of the least action principle from classical mechanics by factoring in two assumptions. First, the Planck constant defines the minimal amount of action a physical system needs to exhibit during its dynamics in order to be observable. Second, there is constant vacuum fluctuation along a classical trajectory. A novel method is introduced to define the (...) information metrics to measure additional observability due to vacuum fluctuations, which is then converted to an additional action through the first assumption. Applying the variational principle to minimize the total actions allows us to recover the basic quantum formulations including the uncertainty relation and the Schrödinger equation in the position representation. In the momentum representation, the same method can be applied to obtain the Schrödinger equation for a free particle while further investigation is still needed for a particle with an external potential. Furthermore, the principle brings in new results on two fronts. At the conceptual level, we find that the information metrics for vacuum fluctuations are responsible for the origin of the Bohm quantum potential. Even though the Bohm potential for a bipartite system is inseparable, the underlying vacuum fluctuations are local. Thus, inseparability of the Bohm potential does not justify a non-local causal relation between the two subsystems. At the mathematical level, quantifying the information metrics for vacuum fluctuations using more general definitions of relative entropy results in a generalized Schrödinger equation that depends on the order of relative entropy. The extended least action principle is a new mathematical tool. It can be applied to derive other quantum formalisms such as quantum scalar field theory. (shrink)

The core issue of our target article concerns how relational complexity should be assessed. We propose that assessments must be based on actual cognitive processes used in performing each step of a task. Complexity comparisons are important for the orderly interpretation of research findings. The links between relational complexity theory and several other formulations, as well as its implications for neural functioning, connectionist models, the roles of knowledge, and individual and developmental differences, are considered.

Efforts aimed at broadening participation in science, technology, engineering, and mathematics (STEM) require a holistic presentation of the state of racial and gender participation. Statistics currently used to describe participation often include raw counts of degrees and the percentages of demographic groups receiving STEM degrees. While these data provide insights into demographic trends, they do not present the complete picture because these “traditional” statistics do not capture how well a field of study reflects—or is proportionally similar to—a larger body, (...) such as the college population. If the goal of broadening participation in STEM education is to ensure that all racial and gender groups are proportionally represented, analysts require direct measures of representation. In this article, we present a novel metric that assesses the degree to which groups are overrepresented or underrepresented in a given field. This metric calculates field-specific representation by comparing the proportion of degrees awarded to members of a demographic group in a specific field of study with the proportion of all degrees awarded to that group. Using data from the National Science Foundation and the Department of Education, we demonstrate the efficacy of this representation metric and show that it provides new insights into STEM participation levels for women and other groups considered to be underrepresented. While traditional measurements show the increasing number of degrees awarded to and the increasing share of underrepresented minority students in STEM, our metric revealed that underrepresented minorities remain underrepresented in STEM fields, especially in engineering and the natural sciences. (shrink)

Metrics have long served as tools for governing at a distance. In the food industry, major manufacturers have embraced metrics as tools to govern the sustainability of the farms producing their commodity raw materials. This metrical turn has been influenced but also complicated by agricultural datafication, that is, the increasing quantities of data generated on and about farms. Despite the sheer abundance of data that companies might use to measure and drive improvement in on-farm sustainability, they have struggled (...) to collect data suitable for such purposes. Attention to the different kinds of distance and diversity across which metrics are supposed to govern suggests reasons why they may fail to do so, even when wielded by otherwise powerful corporations. (shrink)

Professor Massey's exposition and analysis [5] of Professor Grünbaum's writings on metric aspects of space seem to me both very helpful in understanding those writings and to contain a considerable original contribution to the subject. Nevertheless I would like to argue that there is an alternative to Massey's explication which seems to me more faithful to Grünbaum's remarks; it seems at least to have the virtue of not forcing Grünbaum to reject the usual mathematical definitions of the notions used.

Forensic evidence often involves an evaluation of whether two impressions were made by the same source, such as whether a fingerprint from a crime scene has detail in agreement with an impression taken from a suspect. Human experts currently outperform computer-based comparison systems, but the strength of the evidence exemplified by the observed detail in agreement must be evaluated against the possibility that some other individual may have created the crime scene impression. Therefore, the strongest evidence comes from features in (...) agreement that are also not shared with other impressions from other individuals. We characterize the nature of human expertise by applying two extant metrics to the images used in a fingerprint recognition task and use eye gaze data from experts to both tune and validate the models. The Attention via Information Maximization model quantifies the rarity of regions in the fingerprints to determine diagnosticity for purposes of excluding alternative sources. The CoVar model captures relationships between low-level features, mimicking properties of the early visual system. Both models produced classification and generalization performance in the 75%–80% range when classifying where experts tend to look. A validation study using regions identified by the AIM model as diagnostic demonstrates that human experts perform better when given regions of high diagnosticity. The computational nature of the metrics may help guard against wrongful convictions, as well as provide a quantitative measure of the strength of evidence in casework. (shrink)

It has been argued that ethical frameworks for data science often fail to foster ethical behavior, and they can be difficult to implement due to their vague and ambiguous nature. In order to overcome these limitations of current ethical frameworks, we propose to integrate the analysis of the connections between technical choices and sociocultural factors into the data science process, and show how these connections have consequences for what data subjects can do, accomplish, and be. Using healthcare as (...) an example, attention to sociocultural conversion factors relevant to health can help in navigating technical choices that require broader considerations of the sociotechnical system, such as metric tradeoffs in model validation, resulting in better ethical and technical choices. This approach promotes awareness of the ethical dimension of technical choices by data scientists and others, and that can foster the cultivation of 'ethical skills' as integral to data science. (shrink)