This paper has two aims: to explore the affective dimensions of moral shock and the way it relates to normative marginalization of those furthest from dominant society and also, more specifically, to articulate the trans experience of constantly being under moral attack because the dominant ‘world’ normatively defines trans individuals out of existence. Toward these ends, I build on Katie Stockdale's recent work on moral shock, arguing that moral shock needs to be contextualized to ‘worlds’ of sense (...) to understand how marginalized people affectively experience shocking events. My focus is the trans experience of moral shock due to the way trans people are positioned outside of dominant society, which creates the conditions to experience cyclical, chronic shock. These affective conditions point to a collective responsibility to ease the affective stress that the most marginalized experience. (shrink)

There are two aims of this paper: (1) to explore the affective dimensions of moral shock and how it relates to normative marginalization of those furthest from dominant society, but also, more specifically; (2) to articulate the trans experience of constantly being under moral attack because the dominant “world” normatively defines you out of existence. Toward these ends, I build on Katie Stockdale’s recent work on moral shock, arguing that moral shock needs to be contextualized to “worlds” (...) of sense to understand how marginalized people affectively experience shocking events. My focus is the trans experience of moral shock due to the way trans people are positioned outside of dominant society, creating the conditions to experience cyclical, chronic shock. These affective conditions point to a collective responsibility to ease the affective stress that the most marginalized experience. (shrink)

Modern empirical macroeconomic models, known as structural autoregressions (SVARs) are dynamic models that typically claim to represent a causal order among contemporaneously valued variables and to merely represent non-structural (reduced-form) co-occurence between lagged variables and contemporaneous variables. The strategy is held to meet the minimal requirements for identifying the residual errors in particular equations in the model with independent, though otherwise not directly observable, exogenous causes (“shocks”) that ultimately account for change in the model. In nonstationary models, such shocks accumulate (...) so that variables have discernible trends. Econometricians have conceived of variables that trend in sympathy with each other (so-called “cointegrated variables”) as sharing one or more of these unobserved trends as a common cause. It is possible for estimates of the values of both the otherwise unobservable individual shocks and the otherwise unobservable common trends to be backed-out of cointegrated systems of equations. The issue addressed in this paper is whether and in what circumstances these values can be regarded as observations of real entities rather than merely artifacts of the representation of variables in the model. The issue is related, on the one hand, to practical methodological problems in the use of SVARs for policy analysis—e.g., does it make sense to estimate of shocks or trends in one model and then use them as measures of variables in a conceptually distinct model? The issue is also related to debates in the philosophical analysis of causation—particularly, whether we are entitled, as assumed by the developers of Bayes-net approaches, to rely on the causal Markov condition (a generalization of Reichenbach’s common-cause condition) or whether cointegration generates a practical example of Nancy Cartwright’s “byproducts” objection to the causal Markov condition. (shrink)

Despite their status as high-income food producing nations, children and their caregivers, both in the United States (U.S.) and Australia can experience food insecurity. Nutrition researchers formed a joint U.S.-Australia collaboration to help advance food security for households with young children aged 0–5 years. This study investigated food insecurity from the perspective of caregivers, especially their perceptions of the impact of food insecurity on their own childhood, their current life, and for the children in their care. Semi-structured interviews were conducted (...) from July to September 2020 during the COVID-19 pandemic. Participants were recruited in Omaha, Nebraska, U.S. (_n_ = 19) and Melbourne, Victoria, Australia (_n_ = 22), during periods of stay-at-home public health orders. These two case study sites enabled an exploration of some universal, and some context-specific, social, economic, and health conditions that buffer, or exacerbate, food insecurity for families in these neo-liberal political settings. An inductive thematic analysis was conducted and established six themes:_growing up poor_, _lessons learned_,_ feeding a family amidst a pandemic_,_ caregiver coping strategies_, _food security in the early years_ and _protecting (young) children_. Perspectives on local anti-hunger strategies were organized to outline participant’s preferred solutions. Household food insecurity is conceptualized in public policy in the U.S. and Australia as a short-term crisis for people, justifying austere, time-limited and patchwork solutions. A narrative of caregivers’ lived experience of food insecurity suggests that it is inter-generational, and exacerbated by a food system shock (i.e., COVID-19). These findings from two varying cities and nations offer a different conceptualization of the timespan and nature of the phenomenon of food insecurity, challenging a dominant policy narrative and highlighting the inadequacy of current so-called solutions. (shrink)

The heat shock genes (hsp genes) are a family of truly ubiquitous genes which have been highly conserved throughout evolution. The protein products of these genes, the heat shock proteins (hsps) are thought to play a protective role in cells (although this may not be their only function). The genes and their products have been the subjects of intense research both at the cellular and molecular levels over the past few years. This review deals with the conservation of (...) the heat shock response and with the expression of the hsp genes under different conditions: they are usually activated as a group by different forms of stress, but can be expressed individually or in subsets at different stages during normal development and the expression of one of them is evoked by the products of different transforming genes. Experimental approaches which have provided information or which have led to hypotheses regarding the molecular details of the mechanisms regulating the expression of the genes are discussed. (shrink)

Existing debates on business ethics under-represent consumers’ perspectives. In order to progress understanding of ethical judgement in the marketplace, we unpack the interconnections between consumer ethical judgment, consent and context. We address the question of how consumers judge the morality of threat-based experiential marketing communications. Our interpretive qualitative research shows that consumers can feel positively about being shocked, judging threat appeals as more or less ethical by the nature of the negative emotions they experience. We also determine that the intersection (...) between ethical judgement, consent and context lies where consumers’ perceptions of fairness and consequences lend contextualised normative approval to marketing practice. Our research makes three original contributions to existing literature. First, it extends theory in the area of ethical judgement, by highlighting the importance of consent for eliciting positive moral responses. Second, it adds to embryonic research addressing the role of emotions in ethical judgement, by ascertaining that negative emotions can elicit positive consumer ethical judgement. Third, our research contributes an original concept to ethical judgement theorisation, namely consumer-experienced positive shock. We define CEPS as a consensual shock value judged as ethical due to its ephemerality, commercial resonance, brand alignment, target-audience appropriateness and contextual acceptability. We also extrapolate the dimensions of CEPS into an ethical judgement typology, elucidating how consumers judge some threat-based communications as ethical, but not others. Consequently, our work dovetails with wider business ethics debates on ethical judgement, adding value by clarifying the conditions that generate positive consumer ethical judgement. (shrink)

Recent research into climate shocks and what this means for the on-farm production of food revealed mixed and unanticipated results. Whilst the research was triggered by a series of catastrophic, climate related disruptions, Australian beef producers interviewed for the study downplayed the immediate and direct impacts of climate shocks. When considering the changing nature of production under shifting climatic conditions, producers offered a commentary on the digital technology and data which interconnected with climate solutions deriving from both on and off (...) the farm. Perceptions of digital technologies were mixed. Some viewpoints outlined how data driven climate solutions supported on farm planning and decision making, helping to manage climate risks and shocks. However, alongside these narratives, concerns were raised about satellite-based sustainability surveillance and their implications for producer agency. These concerns include the data-informed actions of non-farming third parties, such as bank loan call-ins for properties perceived to be a climate risk, remote surveillance of ground cover, and the commercial re-appraisal of pastoral lands as carbon sinks. Digital solutions to climate shocks thus emerge as inherently ambivalent, a response to shocks and a potential catalyst for renewed crisis. Drawing upon the theoretical lens of relationality, we argue that digital data are increasingly entangled with other material and non-material elements that may disrupt and/or reconfigure the management of farming and with that, the future security of food production. In some instances, data-based solutions to climate risks and shocks present even greater risks to producer agency than climate risks and shocks themselves. (shrink)

Anxiety shifts visual attention and perceptual mechanisms, preparing oneself to detect potentially threatening information more rapidly. Despite being demonstrated for threat‐related social stimuli, such as fearful expressions, it remains unexplored if these effects encompass other social cues of danger, such as aggressive gestures/actions. To this end, we recruited a total of 65 participants and asked them to identify, as quickly and accurately as possible, potentially aggressive actions depicted by an agent. By introducing and manipulating the occurrence of electric shocks, we (...) induced safe and threatening conditions. In addition, the association between electric shocks and aggression was also manipulated. Our result showed that participants have improved sensitivity, with no changes to criterion, when detecting aggressive gestures during threat compared to safe conditions. Furthermore, drift diffusion model analysis showed that under threat participants exhibited faster evidence accumulation toward the correct perceptual decision. Lastly, the relationship between threat source and aggression appeared to not impact any of the effects described above. Overall, our results indicate that the benefits gained from states of anxiety, such as increased sensitivity toward threat and greater evidence accumulation, are transposable to social stimuli capable of signaling danger other than facial expressions. (shrink)

The emphasis on models hasn’t completely eliminated laws from scientific discourse and philosophical discussion. Instead, I want to argue that much of physics lies beyond the strict domain of laws. I shall argue that in important cases the physics, or physical understanding, does not lie either in laws or in their properties, such as universality, consistency and symmetry. I shall argue that the domain of application commonly attributed to laws is too narrow. That is, laws can still play an important, (...) though peculiar, role outside their strict domain of validity. I shall argue also that, by way of a trade-off, while the actual domain of application of laws should be seen as much broader. At the same time, what I call ‘anomic’ representational elements reveal themselves as central to the descriptive and explanatory power of theories and model: boundary conditions, state descriptions, structures, constraints, limits and mechanisms. I conclude with a brief consideration of how my discussion has consequences for discussion of understanding, unification, approximation and dispositional properties. I focus on examples from physics, macroscopic and microscopic, phenomenological and fundametal: shock waves, propagation of cracks, symmetry breaking, and others. This law-eccentric kind of knowledge is central to both modeling the world and intervening in it. (shrink)

In this paper, we apply imprinting theory to examine how institutional transformation substantially influences perceptions of corruption that we argue to be incorporated to a varying extent in organizations founded in that period. For this purpose, we compare the effect of a sudden shock (dissolution of the Soviet Union) on the managers' present perceptions to that of a steady transition (EU accession). We consult the 5th round of the Business Environment and Enterprise Performance Survey from 2012 to 2014 analyzing (...) 4715 interviews with managers of organizations from twelve Central and Eastern European countries. Our results reveal striking differences in the present perception of corruption for organizations founded immediately before and immediately after these institutional transitions. The study's results contribute to the research on imprinting theory regarding the relationship between organizations and institutional conditions that constitutes a lasting effect on organizational structures. Thus, applying an institutional perspective that considers less stable periods for organizations yields a promising avenue in research on organizational behavior. (shrink)

During the COVID-19 epidemic, draconian countermeasures forbidding nonessential human activities have been adopted in several countries worldwide, providing an unprecedented setup for testing and quantifying the current impact of humankind on climate and for driving potential sustainability policies in the postpandemic era from a perspective of complex systems. In this study, we consider heterogeneous sources of environmental and human activity observables, considered as components of a complex socioenvironmental system, and apply information theory, network science, and Bayesian inference to analyze their (...) structural relations and nonlinear dynamics between January 2019 and August 2020 in northern Italy, i.e., before, during, and after the national lockdown. The topological structure of a complex system strongly impacts its collective behavior; therefore, mapping this structure is essential to fully understand the functions of the system as a whole and its fragility to unexpected disruptions or shocks. To this aim, we unravel the causal relationships between the 16 environmental conditions and human activity variables, mapping the backbone of the complex interplay between intervening physical observables—such as NO2 emissions, energy consumption, intervening climate variables, and different flavors of human mobility flows—to a causal network model. To identify a tipping point during the period of observation, denoting the presence of a regime shift between distinct network states, we introduce a novel information-theoretic method based on statistical divergence widely used in statistical physics. We find that despite a measurable decrease in NO2 concentration, due to an overall decrease in human activities, locking down a region as a climate change mitigation is an insufficient remedy to reduce emissions. Our results provide a functional characterization of socioenvironmental interdependent systems, and our analytical framework can be used, more generally, to characterize environmental changes and their interdependencies using statistical physics. (shrink)