Many scholars believe that traditional courses in ethics (especially business ethics) have not been successful in making students ethical. The best that educators can hope is that these courses will help build ethical awareness. It is thus apparent that the apparatus used to teach ethics does not inspire the intellectual leap needed between the abstract awareness of ethical issues to the functional changes in behavior and decision-making. This paper posits that the creative arts, including literature, poetry, music, pictorial art, and (...) film, may provide the tools to help bridge that gap. The creative arts can profoundly impact individuals and cause social change by gradually implanting values and changing beliefs. They can instill morals by using stories, sounds, and images and arouse the passion needed to change behaviors. (shrink)

Families of children with mental health challenges may have been particularly vulnerable to emotional distress during the COVID-19 pandemic. This cross-sectional study surveyed 81 parents of children ages 6–17 years receiving mental health treatment in an outpatient clinic during the pandemic. We sought to characterize the impact of the pandemic on family relationships and parental well-being. Additionally, regression and ANCOVA models examined associations between four potentially protective factors—parents’ psychological resilience, perceived social support, positive family experiences during the pandemic, and children’s (...) use of cognitive or behavioral coping strategies—with family relationships and parental well-being. Findings suggest that families of children with mental health conditions experienced remarkable challenges to family relationships, parental well-being, and parents’ perceived capacity to support their children’s mental health. Nearly 80% of parents reported a negative impact of the pandemic on their own well-being, and 60% reported reduced ability to support their children’s mental health. Simultaneously, protective factors appeared to mitigate the negative impact of the pandemic. Particularly, support within the family and from external sources were associated with better self-reported well-being for parents and their capacity to support their children. Children’s use of coping tools, likely enhanced by mental health treatment, was also positively related to better family relationships and parental ability to support children with mental health challenges. Our findings highlight the need for enhancing supports for families at multiple levels including individual skill-building, family-based/parenting support, and community-based support. (shrink)

This edited work presents contemporary mathematical practice in the foundational mathematical theories, in particular set theory and the univalent foundations. It shares the work of significant scholars across the disciplines of mathematics, philosophy and computer science. Readers will discover systematic thought on criteria for a suitable foundation in mathematics and philosophical reflections around the mathematical perspectives. The first two sections focus on the two most prominent candidate theories for a foundation of mathematics. Readers may trace current research in set theory, (...) which has widely been assumed to serve as a framework for foundational issues, as well as new material elaborating on the univalent foundations, considering an approach based on homotopy type theory (HoTT). The further sections then build on this and are centred on philosophical questions connected to the foundations of mathematics. Here, the authors contribute to discussions on foundational criteria with more general thoughts on the foundations of mathematics which are not connected to particular theories. This book shares the work of some of the most important scholars in the fields of set theory (S. Friedman), non-classical logic (G. Priest) and the philosophy of mathematics (P. Maddy). The reader will become aware of the advantages of each theory and objections to it as a foundation, following the latest and best work across the disciplines and it is therefore a valuable read for anyone working on the foundations of mathematics or in the philosophy of mathematics. (shrink)

When parents must rely on public assistance and family shelters to provide for their children's most basic needs, they lose autonomy. Within a system of public assistance that already stigmatizes and isolates its beneficiaries, their family lives become subject to public scrutiny and criticism. They are _parenting in public._ This book is an in-depth examination of the realities of life for parents and their children in family shelters. The author uses the Massachusetts family shelter system to explore the impact of (...) asset and deficit-oriented help-giving approaches as they are experienced by mothers and service providers. The format of the book is unique. Following each chapter are the "reflections" of a mother who has parented in a shelter, a front-line worker, and a shelter director. The author and contributors propose a "Power With" policy and practice framework that runs counter to the prevailing "Power Over" cultural policy trends. Contributors include Rosa Clark, Brenda Farrell, Deborah Gray, Michele Kahan, Margaret A. Leonard, Mary T. Lewis, Nancy Schwoyer, and Elizabeth Ward. (shrink)

This text provides a critique of the subjective Bayesian view of statistical inference, and proposes the author's own error-statistical approach as an alternative framework for the epistemology of experiment. It seeks to address the needs of researchers who work with statistical analysis.

Over the last decade or so, there has been a renewed interest in a view about properties known as quidditism. However, a review of the literature reveals that ‘quidditism’ is used to cover a range of distinct views. In this paper I explore the logical space of distinct types of quidditism. The first distinction noted is between quidditism as a thesis explicitly about property individuation and quidditism as a principle of unrestricted property recombination. The distinction recently drawn by Dustin Locke (...) between extravagant quidditism and austere quidditism is a distinction between quidditisms of the first type. It is then argued that austere quidditism may itself be further sub-divided into what I call ‘extremely austere quidditism’ and ‘moderately austere quidditism’. Moderately austere quidditism is argued to be preferable to extremely austere quidditism and further to be able to address many of the arguments leveled against quidditism in general. (shrink)

Despite the widespread use of key concepts of the Neyman–Pearson (N–P) statistical paradigm—type I and II errors, significance levels, power, confidence levels—they have been the subject of philosophical controversy and debate for over 60 years. Both current and long-standing problems of N–P tests stem from unclarity and confusion, even among N–P adherents, as to how a test's (pre-data) error probabilities are to be used for (post-data) inductive inference as opposed to inductive behavior. We argue that the relevance of error probabilities (...) is to ensure that only statistical hypotheses that have passed severe or probative tests are inferred from the data. The severity criterion supplies a meta-statistical principle for evaluating proposed statistical inferences, avoiding classic fallacies from tests that are overly sensitive, as well as those not sensitive enough to particular errors and discrepancies. Introduction and overview 1.1 Behavioristic and inferential rationales for Neyman–Pearson (N–P) tests 1.2 Severity rationale: induction as severe testing 1.3 Severity as a meta-statistical concept: three required restrictions on the N–P paradigm Error statistical tests from the severity perspective 2.1 N–P test T(): type I, II error probabilities and power 2.2 Specifying test T() using p-values Neyman's post-data use of power 3.1 Neyman: does failure to reject H warrant confirming H? Severe testing as a basic concept for an adequate post-data inference 4.1 The severity interpretation of acceptance (SIA) for test T() 4.2 The fallacy of acceptance (i.e., an insignificant difference): Ms Rosy 4.3 Severity and power Fallacy of rejection: statistical vs. substantive significance 5.1 Taking a rejection of H0 as evidence for a substantive claim or theory 5.2 A statistically significant difference from H0 may fail to indicate a substantively important magnitude 5.3 Principle for the severity interpretation of a rejection (SIR) 5.4 Comparing significant results with different sample sizes in T(): large n problem 5.5 General testing rules for T(), using the severe testing concept The severe testing concept and confidence intervals 6.1 Dualities between one and two-sided intervals and tests 6.2 Avoiding shortcomings of confidence intervals Beyond the N–P paradigm: pure significance, and misspecification tests Concluding comments: have we shown severity to be a basic concept in a N–P philosophy of induction? (shrink)

Although both philosophers and scientists are interested in how to obtain reliable knowledge in the face of error, there is a gap between their perspectives that has been an obstacle to progress. By means of a series of exchanges between the editors and leaders from the philosophy of science, statistics and economics, this volume offers a cumulative introduction connecting problems of traditional philosophy of science to problems of inference in statistical and empirical modelling practice. Philosophers of science and scientific practitioners (...) are challenged to reevaluate the assumptions of their own theories - philosophical or methodological. Practitioners may better appreciate the foundational issues around which their questions revolve and thereby become better 'applied philosophers'. Conversely, new avenues emerge for finally solving recalcitrant philosophical problems of induction, explanation and theory testing. (shrink)

The growing availability of computer power and statistical software has greatly increased the ease with which practitioners apply statistical methods, but this has not been accompanied by attention to checking the assumptions on which these methods are based. At the same time, disagreements about inferences based on statistical research frequently revolve around whether the assumptions are actually met in the studies available, e.g., in psychology, ecology, biology, risk assessment. Philosophical scrutiny can help disentangle 'practical' problems of model validation, and conversely, (...) a methodology of statistical model validation can shed light on a number of issues of interest to philosophers of science. (shrink)

The key problem in the controversy over group selection is that of defining a criterion of group selection that identifies a distinct causal process that is irreducible to the causal process of individual selection. We aim to clarify this problem and to formulate an adequate model of irreducible group selection. We distinguish two types of group selection models, labeling them type I and type II models. Type I models are invoked to explain differences among groups in their respective rates of (...) production of contained individuals. Type II models are invoked to explain differences among groups in their respective rates of production of distinct new groups. Taking Elliott Sober's model as an exemplar, we argue that although type I models have some biological importance--they force biologists to consider the role of group properties in influencing the fitness of organisms--they fail to identify a distinct group-level causal selection process. Type II models if properly framed, however, do identify a group-level causal selection process that is not reducible to individual selection. We propose such a type II model and apply it to some of the major candidates for group selection. (shrink)

Germund Hesslow has argued recently [2] that a probabilistic theory of causality as advocated by Patrick Suppes [4] has two problems that a deterministic theory avoids. In this paper, I argue that Suppes' probabilistic causal calculus is free of each of these problems and, moreover, that several broader issues raised by Hesslow's discussion tend to support a probabilistic conception of causes.

In seeking general accounts of evidence, confirmation, or inference, philosophers have looked to logical relationships between evidence and hypotheses. Such logics of evidential relationship, whether hypothetico-deductive, Bayesian, or instantiationist fail to capture or be relevant to scientific practice. They require information that scientists do not generally have (e.g., an exhaustive set of hypotheses), while lacking slots within which to include considerations to which scientists regularly appeal (e.g., error probabilities). Building on my co-symposiasts contributions, I suggest some directions in which a (...) new and more adequate philosophy of evidence can move. (shrink)

During the past decade there has been a very effective campaign against any explanation of remembering whose basic concept is that of a causally mediating trace. This paper attempts to provide such an explanation by presenting an explicit deductive argument for the existence of the memory trace. The conclusion is shown to follow from reasonable, empirical assumptions of which the most interesting is a spatiotemporal contiguity thesis. Set-theoretic techniques are used to provide a framework of analysis and probabilistic definitions of (...) some causal notions, as that of a causal chain, are presented. (shrink)

I argue that the Bayesian Way of reconstructing Duhem's problem fails to advance a solution to the problem of which of a group of hypotheses ought to be rejected or "blamed" when experiment disagrees with prediction. But scientists do regularly tackle and often enough solve Duhemian problems. When they do, they employ a logic and methodology which may be called error statistics. I discuss the key properties of this approach which enable it to split off the task of testing auxiliary (...) hypotheses from that of appraising a primary hypothesis. By discriminating patterns of error, this approach can at least block, if not also severely test, attempted explanations of an anomaly. I illustrate how this approach directs progress with Duhemian problems and explains how scientists actually grapple with them. (shrink)

After some general remarks about the interrelation between philosophical and statistical thinking, the discussion centres largely on significance tests. These are defined as the calculation of p-values rather than as formal procedures for ‘acceptance‘ and ‘rejection‘. A number of types of null hypothesis are described and a principle for evidential interpretation set out governing the implications of p- values in the specific circumstances of each application, as contrasted with a long-run interpretation. A number of more complicated situ- ations are discussed (...) in which modification of the simple p-value may be essential. (shrink)

Death narratives, nurturance, and transitive crossings within species and between species open pathways into entanglements of life of earth. This paper engages with time in both sequential and synchronous modes, investigating interfaces where time, species, and nourishment become densely knotted up in ethics of gift, motion, death, life, and desire. The further aim is to consider the dynamic ripples generated by anthropogenic mass death in multispecies knots of ethical time, and to gesture toward a practice of writing as witness.

I bring several ecofeminist critiques of deep ecology to bear on mainstream animal rights theories, especially on the rights and utilitarian treatments of the animal research issue. Throughout, I show how animal rights issues are feminist issues and clarify the relationship between ecofeminism and animal rights.

The issues of double-counting, use-constructing, and selection effects have long been the subject of debate in the philosophical as well as statistical literature. I have argued that it is the severity, stringency, or probativeness of the test—or lack of it—that should determine if a double-use of data is admissible. Hitchcock and Sober ([2004]) question whether this ‘severity criterion' can perform its intended job. I argue that their criticisms stem from a flawed interpretation of the severity criterion. Taking their criticism as (...) a springboard, I elucidate some of the central examples that have long been controversial, and clarify how the severity criterion is properly applied to them. Severity and Use-Constructing: Four Points (and Some Clarificatory Notes) 1.1 Point 1: Getting beyond ‘all or nothing’ standpoints 1.2 Point 2: The rationale for prohibiting double-counting is the requirement that tests be severe 1.3 Point 3: Evaluate severity of a test T by its associated construction rule R 1.4 Point 4: The ease of passing vs. ease of erroneous passing: Statistical vs. ‘Definitional’ probability The False Dilemma: Hitchcock and Sober 2.1 Marsha measures her desk reliably 2.2 A false dilemma Canonical Errors of Inference 3.1 How construction rules may alter the error-probing performance of tests 3.2 Rules for accounting for anomalies 3.3 Hunting for statistically significant differences Concluding Remarks. (shrink)

The deontic model of justice and ethical behavior proposes that people care about justice simply for the sake of justice. This is an important consideration for business ethics because it implies that justice and ethical behavior are naturally occurring phenomenaindependent of system controls or individual self-interest. To date, research on the deontic model and third-party reactions to injustice has focused primarily on individuals’ tendency to punish transgressors. This research has revealed that witnesses to injustice will consider sacrificing their own resources (...) if it is the only way to sanction an observed transgressor. In this paper we seek to extend this model by arguing that punishment may not be the only “deontic” reaction, and that in fact, third-party observers of injustice may engage in moral self-regulation that would lead them to conclude that the most ethical response is to do nothing. We provide preliminary evidence for our propositions using voiced cognitions data collected during a resource allocation task. Results indicate that deonance may be more complex than originally thought, and previous tests of the model conservative in nature. (shrink)

While orthodox (Neyman-Pearson) statistical tests enjoy widespread use in science, the philosophical controversy over their appropriateness for obtaining scientific knowledge remains unresolved. I shall suggest an explanation and a resolution of this controversy. The source of the controversy, I argue, is that orthodox tests are typically interpreted as rules for making optimal decisions as to how to behave--where optimality is measured by the frequency of errors the test would commit in a long series of trials. Most philosophers of statistics, however, (...) view the task of statistical methods as providing appropriate measures of the evidential-strength that data affords hypotheses. Since tests appropriate for the behavioral-decision task fail to provide measures of evidential-strength, philosophers of statistics claim the use of orthodox tests in science is misleading and unjustified. What critics of orthodox tests overlook, I argue, is that the primary function of statistical tests in science is neither to decide how to behave nor to assign measures of evidential strength to hypotheses. Rather, tests provide a tool for using incomplete data to learn about the process that generated it. This they do, I show, by providing a standard for distinguishing differences (between observed and hypothesized results) due to accidental or trivial errors from those due to systematic or substantively important discrepancies. I propose a reinterpretation of a commonly used orthodox test to make this learning model of tests explicit. (shrink)

Kuhn maintains that what marks the transition to a science is the ability to carry out ‘normal’ science—a practice he characterizes as abandoning the kind of testing that Popper lauds as the hallmark of science. Examining Kuhn's own contrast with Popper, I propose to recast Kuhnian normal science. Thus recast, it is seen to consist of severe and reliable tests of low-level experimental hypotheses (normal tests) and is, indeed, the place to look to demarcate science. While thereby vindicating Kuhn on (...) demarcation, my recasting of normal science is seen to tell against Kuhn's view of revolutionary science. (shrink)

Theories of statistical testing may be seen as attempts to provide systematic means for evaluating scientific conjectures on the basis of incomplete or inaccurate observational data. The Neyman-Pearson Theory of Testing (NPT) has purported to provide an objective means for testing statistical hypotheses corresponding to scientific claims. Despite their widespread use in science, methods of NPT have themselves been accused of failing to be objective; and the purported objectivity of scientific claims based upon NPT has been called into question. The (...) purpose of this paper is first to clarify this question by examining the conceptions of (I) the function served by NPT in science, and (II) the requirements of an objective theory of statistics upon which attacks on NPT's objectivity are based. Our grounds for rejecting these conceptions suggest altered conceptions of (I) and (II) that might avoid such attacks. Second, we propose a reformulation of NPT, denoted by NPT*, based on these altered conceptions, and argue that it provides an objective theory of statistics. The crux of our argument is that by being able to objectively control error frequencies NPT* is able to objectively evaluate what has or has not been learned from the result of a statistical test. (shrink)

This passage, which appears without variation at the end of four of Euripides' tragedies and with slight variation in a fifth,1 is perhaps the most notorious of the brief sequences of lines, usually anapaestic and usually assigned to the chorus, with which nearly all the extant plays of Sophocles and Euripides conclude.2 Unlike the more varied final speeches of extant Aeschylean tragedy, which are closely integrated with the play's concluding action, these passages often seem almost detachable from such action, a (...) comment upon or merely after finished business rather than a part of its finishing. In some instances there is general scholarly agreement that the concluding lines are relevant to the action of a play, but many of these passages have been variously dismissed by scholars - as interpolations, as mere dramatic conveniences, or as intentional throwaways. (shrink)

Cartwright argues for being a realist about theoretical entities but non-realist about theoretical laws. Her reason is that while the former involves causal explanation, the latter involves theoretical explanation; and inferences to causes, unlike inferences to theories, can avoid the redundancy objection--that one cannot rule out alternatives that explain the phenomena equally well. I sketch Cartwright's argument for inferring the most probable cause, focusing on Perrin's inference to molecular collisions as the cause of Brownian motion. I argue that either the (...) inference she describes fails to be a genuinely causal one, or else it too is open to the redundancy objection. However, I claim there is a way to sustain Cartwright's main insight: that it is possible to avoid the redundancy objection in certain cases of causal inference from experiments (e.g., Perrin). But, contrary to Cartwright, I argue that in those cases one is able to infer causes only by inferring some theoretical laws about how they produce experimental effects. (shrink)

BackgroundHealth data-driven activities have become central in diverse fields (research, AI development, wearables, etc.), and new ethical challenges have arisen with regards to privacy, integrity, and appropriateness of use. To ensure the protection of individuals’ fundamental rights and freedoms in a changing environment, including their right to the protection of personal data, we aim to identify the ethical approaches adopted by scientists during intensive data exploitation when collecting, using, or sharing peoples’ health data.MethodsTwelve scientists who were collecting, using, or sharing (...) health data in different contexts in Sweden, were interviewed. We used systematic expert interviews to access these scientists’ specialist knowledge, and analysed the interviews with thematic analysis. Phrases, sentences, or paragraphs through which ethical values and norms were expressed, were identified and coded. Codes that reflected similar concepts were grouped, subcategories were formulated, and categories were connected to traditional ethical approaches.ResultsThrough several examples, the respondents expressed four different ethical approaches, which formed the main conceptual categories: consideration of consequences, respect for rights, procedural compliance, and being professional.ConclusionsTo a large extent, the scientists’ ethical approaches were consistent with ethical and legal principles. Data sharing was considered important and worth pursuing, even though it is difficult. An awareness of the complex issues involved in data sharing was reflected from different perspectives, and the respondents commonly perceived a general lack of practical procedures that would by default ensure ethical and legally compliant data collection and sharing. We suggest that it is an opportune time to move on from policy discussions to practical technological ethics-by-design solutions that integrate these principles into practice. (shrink)

The error statistical account of testing uses statistical considerations, not to provide a measure of probability of hypotheses, but to model patterns of irregularity that are useful for controlling, distinguishing, and learning from errors. The aim of this paper is (1) to explain the main points of contrast between the error statistical and the subjective Bayesian approach and (2) to elucidate the key errors that underlie the central objection raised by Colin Howson at our PSA 96 Symposium.

In Philosophical Problems of Statistical Inference, Seidenfeld argues that the Neyman-Pearson (NP) theory of confidence intervals is inadequate for a theory of inductive inference because, for a given situation, the 'best' NP confidence interval, [CIλ], sometimes yields intervals which are trivial (i.e., tautologous). I argue that (1) Seidenfeld's criticism of trivial intervals is based upon illegitimately interpreting confidence levels as measures of final precision; (2) for the situation which Seidenfeld considers, the 'best' NP confidence interval is not [CIλ] as Seidenfeld (...) suggests, but rather a one-sided interval [CI0]; and since [CI0] never yields trivial intervals, NP theory escapes Seidenfeld's criticism entirely; (3) Seidenfeld's criterion of non-triviality is inadequate, for it leads him to judge an alternative confidence interval, [CI alt. ], superior to [CIλ] although [CI alt. ] results in counterintuitive inferences. I conclude that Seidenfeld has not shown that the NP theory of confidence intervals is inadequate for a theory of inductive inference. (shrink)

I document some of the main evidence showing that E. S. Pearson rejected the key features of the behavioral-decision philosophy that became associated with the Neyman-Pearson Theory of statistics (NPT). I argue that NPT principles arose not out of behavioral aims, where the concern is solely with behaving correctly sufficiently often in some long run, but out of the epistemological aim of learning about causes of experimental results (e.g., distinguishing genuine from spurious effects). The view Pearson did hold gives a (...) deeper understanding of NPT tests than their typical formulation as accept-reject routines, against which criticisms of NPT are really directed. The Pearsonian view that emerges suggests how NPT tests may avoid these criticisms while still retaining what is central to these methods: the control of error probabilities. (shrink)

In this paper, I defend Rudolf Carnap's Principle of Tolerance from an accusation, due to Michael Friedman, that it is self-defeating by prejudicing any debate towards the logically stronger theory. In particular, Friedman attempts to show that Carnap's reconstruction of the debate between classicists and intuitionists over the foundations of mathematics in his book The Logical Syntax of Language, is biased towards the classical standpoint since the metalanguage he constructs to adjudicate between the rival positions is fully classical. (...) I argue that this criticism is mistaken on two counts: (1) it fails to fully appreciate the freedom with regard to the construction of linguistic frameworks that Carnap intended his Principle to embody, and (2) Friedman's objection underestimates the extent to which the evaluation of a framework is task-relative. I conclude that Tolerance is not self-undermining in the way that Friedman claims it is. While this is a restricted conclusion -- and is not a vindication of Carnap's views on logic and mathematics tout court -- it nonetheless suggests that his tolerant perspective has been dismissed too quickly, even by his supporters. (shrink)

The present study examined the role of father sensitivity and couple coparenting quality in the first 2 years of life in relation to the development of externalizing behavior problems in middle childhood, focusing on the unique role of fathers. In this study, 125 mothers, fathers, and their first-born children were followed from 8 months to age 7 years. Paternal sensitivity was rated when infants were 8 and 24 months old. Fathers were videotaped at home playing, feeding, and changing their 8-month-old (...) infants’ clothes. They also were videotaped in a lab playing with their 24-month-olds and solving a variety of challenging tasks. At 24 months, competitive coparenting was assessed via videotaped triadic family interactions at home in which families participated in a variety of tasks. Teachers rated externalizing behavior problems when the children were age 7. Continuity in paternal sensitivity was documented from 8 to 24 months, and paternal sensitivity at 8 months predicted externalizing behavior in middle childhood through father sensitivity at 24 months. Moreover, paternal sensitivity at 8 months predicted competitive coparenting which, in turn, forecast externalizing behavior problems in middle childhood, even after controlling for maternal sensitivity at 8 and 24 months. These findings highlight the unique role of paternal caregiving quality during the first year of life on couple coparenting and children’s subsequent development of externalizing problems and have implications for creating effective interventions to prevent children from developing externalizing disorders. (shrink)

We argue that the common attribution to Zhuangzi of both perspectivalism or relativism on the one hand, and scepticism on the other is fundamentally mistaken. While granting that it is reasonable to construe Zhuangzi as offering a perspectiva! position on judgement, we argue that Zhuangzi's perspectivalism does not commit him to a relativist position on truth or to scepticism about human knowledge. Rather, we maintain that Zhuangzi's attacks on the concepts of truth and knowledge are better seen as his articulation (...) of a species of epistemological nihilism which rejects, as ultimately meaningless, the concepts of truth, reality, and knowledge. (shrink)

A portrait of Australian flying fox life in the Anthropocene illuminates startlingly familiar stories. These animals are participants in most of the major catastrophic events, as well as contestations about rescue, of contemporary life on Earth: warfare, man-made mass death, famine, urbanisation, emerging diseases, climate change, biosecurity, conservation, and local/international NGO aid. They are endangered, and are involved in all four of the major factors causing extinctions: habitat loss, overexploitation, introduced species, and extinction cascades. My account of flying foxes in (...) Australia rests on the understanding of species articulated both vigorously and eloquently by Donna Haraway : we and others are entangled in knots of species who are co-shaping each other in layers of reciprocating complexity. I seek to engage both the living, warm-blooded beings whose lives are threatened, and the excruciatingly dynamic deathscape that is surrounding them/us. Positioned, like much of life on Earth today, in zones of increasing conflict and terror, the lives and deaths of flying foxes tell us that in the Anthropocene there is no way out of entanglements within multispecies communities. Rather than seeking to erect more impenetrable barriers against others, relational ethics for living and dying in the Anthropocene urge us to assume ever greater mutuality and accountability as intradependent members of the suffering family of life on Earth. (shrink)

In recent years, health warnings on tobacco products have become compulsory through legislation introduced by the Australian government. This approach shows a lack of concern for tobacco consumers while allowing government to abdicate responsibility without jeopardising profit. The decision to warn people of inevitable addiction and disease fails to recognise previous research into adolescent attraction to deviance and the role of suggestion in cure and illness. The Australian government makes millions of dollars each year by taxing tobacco products—as long as (...) these profits continue to be directed almost exclusively into consolidated revenue, smokers will remain victims of a system unconcerned with exploitation. (shrink)

On August 30, 2013, the American Political Science Association sponsored a roundtable on political epistemology as part of its annual meetings. Co-chairing the roundtable were Jeffrey Friedman, Department of Government, University of Texas at Austin; and Hélène Landemore, Department of Political Science, Yale University. The other participants were Scott Althaus, Department of Political Science, University of Illinois at Urbana-Champaign; Mark Bevir, Department of Political Science, University of California at Berkeley; Rogers Smith, Department of Political Science, University of Pennsylvania; and (...) Susan Stokes, Department of Political Science, Yale University. We thank the participants for permission to republish their remarks, which they subsequently edited for clarity. (shrink)

Despite the apparent contemporary irrelevance of the Old Testament, the Adam and Eve narrative in Genesis 2–3 is a deeply engrained element within Western cultural mythology. As such it virtually demands a feminist critique, because its common interpretation as a narrative demonstrating women's inferiority and legitimizing their subordination has a mutually reinforcing relationship with the patriarchal world-view that still pervades much of Western culture. A feminist reading of Genesis 2–3 highlights the difficulties with the traditional subordinationist reading, and suggests other (...) possibilities for interpretation that relativize the absolutism of patriarchal authority claims, thereby making it possible to envisage, and work towards, a different world-order. (shrink)

We argue that a responsible analysis of today's evidence-based risk assessments and risk debates in biology demands a critical or metascientific scrutiny of the uncertainties, assumptions, and threats of error along the manifold steps in risk analysis. Without an accompanying methodological critique, neither sensitivity to social and ethical values, nor conceptual clarification alone, suffices. In this view, restricting the invitation for philosophical involvement to those wearing a "bioethicist" label precludes the vitally important role philosophers of science may be able to (...) play as bioevidentialists. The goal of this paper is to give a brief and partial sketch of how a metascientific scrutiny of risk evidence might work. (shrink)