Social work and other professions struggle with the roles of knowledge and values in the study of society and human lives, and in professional practice. Discussions of this topic range from those who see relatively clear distinctions between these concepts and those for whom the lines between the concepts are blurred. For those who separate theory and knowledge from values and ethics there is further discussion in the literature on which is the appropriate foundation for social work practice. The following (...) discussion examines two arguments: firstly, that these concepts, and the two camps they can be placed into, are distinct and should be kept separate; and secondly, the alternative perspective that the concepts overlap and that the separation into two camps is false. The analysis here outlines these perspectives and suggests reasons why shades of both are necessary to fully understand and participate in the reality of social work as a profession and an academic discipline. (shrink)

Science is one of the most important forces in contemporary society. The most reliable source of knowledge about the world, science shapes the technological possibilities before us, informs public policy, and is crucial to measuring the efficacy of public policy. Yet it is not a simple repository of facts on which we can draw. It is an ongoing process of evidence gathering, discovery, contestation, and criticism. I will argue that an understanding of the nature of science and the scientific process (...) should be the central goal for scientific literacy, rather than a grasp of specific facts. With this understanding of science as a backdrop, the paper then turns to modes for citizen engagement with science. This paper articulates different ways citizens can engage with science, including four avenues for legitimate contestation of scientific claims. I then look more closely at contestation of science on the basis of values. That science can be legitimately contested by non-experts on a range of grounds means that science communication should not just aim at getting citizens to accept scientific claims, but rather to engage in a more robust two-way conversation about science. (shrink)

Science is one of the most important forces in contemporary society. The most reliable source of knowledge about the world, science shapes the technological possibilities before us, informs public policy, and is crucial to measuring the efficacy of public policy. Yet it is not a simple repository of facts on which we can draw. It is an ongoing process of evidence gathering, discovery, contestation, and criticism. I will argue that an understanding of the nature of science and the scientific process (...) should be the central goal for scientific literacy, rather than a grasp of specific (often disciplinary) facts. With this understanding of science as a backdrop, the paper then turns to modes for citizen engagement with science. This paper articulates different ways citizens can engage with science, including four avenues for legitimate contestation of scientific claims. I then look more closely at contestation of science on the basis of values. That science can be legitimately contested by non-experts on a range of grounds means that science communication should not just aim at getting citizens to accept scientific claims, but rather to engage in a more robust two-way conversation about science. (shrink)

While nature is often claimed to be a space of harmonized balance or an antidote to the chaos of the modern world, we need a more grounded assessment of nature as endlessly changing and much less predictable than we like to assume. In this essay, I explore Karen Traviss’ provocative exploration of unbalanced nature and unbounded bodies in her wess’har series with the guidance of two ecocritics who reject the concept of balanced nature, Dana Phillips and Ursula Heise. Additionally, I (...) turn to the environmental philosopher Val Plumwood for insights regarding Traviss’ spurious yet rather standard vision of an unlimited technological panacea. Traviss’ series portrays how the boundaries and limits that we perceive as solid are often much less so than we believe, yet she also reveals—inadvertently, it seems—how easily we blindly ignore other, more solid limits. (shrink)

Does algorithmic political bias contribute to an entrenchment and polarization of political positions? Franke argues that it may do so because the bias involves classifications of people as liberals, conservatives, etc., and individuals often conform to the ways in which they are classified. I provide a novel example of this phenomenon in human–computer interactions and introduce a social psychological mechanism that has been overlooked in this context but should be experimentally explored. Furthermore, while Franke proposes that algorithmic political classifications entrench (...) political identities, I contend that they may often produce the opposite result. They can lead people to change in ways that disconfirm the classifications. Consequently and counterintuitively, algorithmic political bias can in fact decrease political entrenchment and polarization. (shrink)

It is unknown to what extent medical researchers generalize study findings beyond their samples when their sample size, sample diversity, or knowledge of conditions that support external validity do not warrant it. It is also unknown to what extent medical researchers describe their results with precise quantifications or unquantified generalizations, i.e., generics, that can obscure variations between individuals. We therefore systematically reviewed all prospective studies (n = 533) published in the top four highest ranking medical journals, Lancet, New England Journal (...) of Medicine (NEJM), Journal of the American Medical Association (JAMA), and the British Medical Journal (BMJ), from January 2022 to May 2023. We additionally reviewed all NEJM Journal Watch clinical research summaries (n = 143) published during the same time. Of all research articles reporting prospective studies, 52.5% included generalizations beyond specific national study populations, with the numbers of articles with generics varying significantly between journals (JAMA = 12%; Lancet = 77%) (p < 0.001, V = 0.48). There was no evidence that articles containing broader generalizations or generics were correlated with larger or more nationally diverse samples. Moreover, only 10.2% of articles with generalizations beyond specific national populations reported external validity strengthening factors that could potentially support such extrapolations. There was no evidence that original research articles and NEJM Journal Watch summaries intended for practitioners differed in their use of broad generalizations, including generics. Finally, from the journal with the highest citation impact, articles containing broader conclusions were correlated with more citations. Since there was no evidence that studies with generalizations beyond specific national study populations or with generics were associated with larger, more nationally diverse samples, or with reports of population similarity that may permit extensions of conclusions, our findings suggest that the generalizations in many articles were insufficiently supported. Caution against overly broad generalizations in medical research is warranted. (shrink)

Michael A. PetersBeijing Normal UniversityMy deepest condolences to Pepe, Dom and Marcus and to Jim’s grandchildren. Tina and I spent a lot of time at the Marshall family home, often attending dinn...

Our aim in this paper is to suggest that most current theories of global justice fail to adequately recognise the importance of global public goods. Broadly speaking, this failing can be attributed at least in part to the complexity of the global context, the individualistic focus of most theories of justice, and the localised nature of the theoretical foundations of most theories of global justice. We argue ? using examples (particularly that of protecting antibiotic efficacy) ? that any truly effective (...) theory of global justice must recognise the importance of global public goods. Global public goods confer significant benefits to individuals yet can only be effectively promoted and preserved through collective action and the restriction of individual choice; something which most theories of justice are structurally unequipped to sufficiently promote. (shrink)

Pretense is generally thought to constitutively involve imagination. We argue that this is a mistake. Although pretense often involves imagination, it need not; nor is it a kind of imagination. The core nature of pretense is closer to imitation than it is to imagination, and likely shares some of its motivation with the former. Three main strands of argument are presented. One is from the best explanation of cross‐cultural data. Another is from task‐analysis of instances of pretend play. And the (...) third concerns the different ways in which pretense (especially childhood pretense) and imagination impact one's evaluative/affective systems. (shrink)

James D Marshall, Michael Peters, Miles Shepheard; Brent's Transcendental Arguments for the Forms of Knowledge, Journal of Philosophy of Education, Volume 15, I.

James D Marshall, Michael Peters, Miles Shepheard; Brent's Transcendental Arguments for the Forms of Knowledge, Journal of Philosophy of Education, Volume 15, I.

Confirmation bias is one of the most widely discussed epistemically problematic cognitions, challenging reliable belief formation and the correction of inaccurate views. Given its problematic nature, it remains unclear why the bias evolved and is still with us today. To offer an explanation, several philosophers and scientists have argued that the bias is in fact adaptive. I critically discuss three recent proposals of this kind before developing a novel alternative, what I call the ‘reality-matching account’. According to the account, confirmation (...) bias evolved because it helps us influence people and social structures so that they come to match our beliefs about them. This can result in significant developmental and epistemic benefits for us and other people, ensuring that over time we don’t become epistemically disconnected from social reality but can navigate it more easily. While that might not be the only evolved function of confirmation bias, it is an important one that has so far been neglected in the theorizing on the bias. (shrink)

This chapter considers what type of bioethics is necessary to address contemporary issues in global health. It explores what kind of ethics, or bioethics, is needed to adequately address such concerns, and argues that because the most pressing ethical dilemmas are global, a global framework must be adopted. Moreover, it argues that to adopt a local model of ethics (whether one community, one nation state or one area of jurisdiction) will fail to illuminate key issues of injustice and thus will (...) ultimately fail as an ethical framework. In short, the global nature of current health issues requires that ethics is global. This argument is a practical one, and one which should be uncontroversial given the clear need for this response. Thus this chapter goes on to explore why, if the need for a global ethical approach is so clearly required by the global nature of health concerns, there is still a debate about whether ethics can or should be global. Thus the chapter looks briefly at the arguments against a global approach to ethics and goes on to suggest a global model of ethics which addresses at least some of these concerns. -/- In order to make this argument the chapter begins by outlining why only a global bioethics or ethics is appropriate. It will argue that global bioethics is necessary for both practical and ethical reasons. As a matter of practicality a global approach to bioethics is necessary as health issues are essentially global; and ethically, not to recognize the global implications of health issues is to endorse the significant injustice which occurs in the arena of global health. Given this the chapter will then go on to consider why, given the overwhelming reasons for adopting a global ethical framework, that the debate about whether ethics should be local or global is still ongoing. The chapter will finish with a brief overview of the global ethics model and will suggest that it might address some of the concerns of those who are wary of global approaches. -/- This chapter is available Open Access (http://dx.doi.org/10.5040/9781472544582.ch-003). (shrink)

The challenge of pursuing sustainability in agriculture is often viewed as mainly or wholly technical in nature, requiring the reform of farming methods and the development and adoption of alternative technologies. Likewise, the purpose of sustainability is frequently cast in utilitarian terms, as a means of protecting a valuable resource (i.e., soil) and of satisfying market demands for healthy, tasty food. Paul B. Thompson has argued that the embrace of these views by many in the consumer/environmental movement enables easy co-optation (...) by agribusiness. It also reflects a critical weakness in this movement: a lack of commitment to philosophical principles that depart from the utilitarian premises of the industrial model of agriculture. This paper draws on the writings of Thomas Berry and Liberty Hyde Bailey to identify the philosophical principles of what we call planetary agrarianism. From the perspective of planetary agrarianism, the pursuit of sustainability is a broad and challenging moral, educational, and political task. Berry helps us see that it is fundamentally a project of worldview transition, which requires a new cultural narrative that must rival, in form and appeal, the mythic power of the utilitarian industrial vision. Liberty Hyde Bailey, author of The Holy Earth (1915) and a leader in the land-grant education and nature-study movements, took up the project of worldview transition in his life work. While in some ways dated and flawed, Bailey’s writings are a valuable source of guidance for developing and pursuing a viable philosophy of agriculture for the 21st century. (shrink)

The metaphysics of relations is still in its infancy. We use the idea of truthmaking to gain purchase on this metaphysics. Assuming a modest supervenience conception of truthmaking, where true relational predications require multiply dependent truthmakers, these are indispensable relations. Though some such relations are required, none are needed for internal relatedness, nor for several other kinds of relational predication. Discerning the metaphysically basic kinds of relations is fraught with uncertainties, but must be tackled if progress is to be made.

Mayer, Caruso, and Salovey provide useful updates to the EI ability model and related concepts. However, they do not acknowledge conceptual limitations with the MSCEIT proportion scoring algorithm. In our view, failure to recognize these limitations has impeded refinements to the EI ability model and delayed support for positioning EI within the Cattell-Horn-Carroll three-stratum theory of intelligence. Fully appreciating algorithm-related issues justifies the reanalysis of MSCEIT data and may expand the range of metrics that are available to refine EI theory.

When scientists or science reporters communicate research results to the public, this often involves ethical and epistemic risks. One such risk arises when scientific claims cause cognitive or behavioural changes in the audience that contribute to the self-fulfilment of these claims. I argue that the ethical and epistemic problems that such self-fulfilment effects may pose are much broader and more common than hitherto appreciated. Moreover, these problems are often due to a specific psychological phenomenon that has been neglected in the (...) research on science communication: many people tend to conform to ‘descriptive norms’, that is, norms capturing (perceptions of) what others commonly do, think, or feel. Because of this tendency, science communication may frequently produce significant social harm. I contend that scientists have a responsibility to assess the risk of this potential harm and consider adopting strategies to mitigate it. I introduce one such strategy and argue that its implementation is independently well motivated by the fact that it helps improve scientific accuracy. (shrink)

In the philosophy of science, it is a common proposal that values are illegitimate in science and should be counteracted whenever they drive inquiry to the confirmation of predetermined conclusions. Drawing on recent cognitive scientific research on human reasoning and confirmation bias, I argue that this view should be rejected. Advocates of it have overlooked that values that drive inquiry to the confirmation of predetermined conclusions can contribute to the reliability of scientific inquiry at the group level even when they (...) negatively affect an individual’s cognition. This casts doubt on the proposal that such values should always be illegitimate in science. It also suggests that advocates of that proposal assume a narrow, individualistic account of science that threatens to undermine their own project of ensuring reliable belief formation in science. (shrink)

Many artificial intelligence (AI) systems currently used for decision-making are opaque, i.e., the internal factors that determine their decisions are not fully known to people due to the systems’ computational complexity. In response to this problem, several researchers have argued that human decision-making is equally opaque and since simplifying, reason-giving explanations (rather than exhaustive causal accounts) of a decision are typically viewed as sufficient in the human case, the same should hold for algorithmic decision-making. Here, I contend that this argument (...) overlooks that human decision-making is sometimes significantly more transparent and trustworthy than algorithmic decision-making. This is because when people explain their decisions by giving reasons for them, this frequently prompts those giving the reasons to govern or regulate themselves so as to think and act in ways that confirm their reason reports. AI explanation systems lack this self-regulative feature. Overlooking it when comparing algorithmic and human decision-making can result in underestimations of the transparency of human decision-making and in the development of explainable AI that may mislead people by activating generally warranted beliefs about the regulative dimension of reason-giving. (shrink)

Some artificial intelligence systems can display algorithmic bias, i.e. they may produce outputs that unfairly discriminate against people based on their social identity. Much research on this topic focuses on algorithmic bias that disadvantages people based on their gender or racial identity. The related ethical problems are significant and well known. Algorithmic bias against other aspects of people’s social identity, for instance, their political orientation, remains largely unexplored. This paper argues that algorithmic bias against people’s political orientation can arise in (...) some of the same ways in which algorithmic gender and racial biases emerge. However, it differs importantly from them because there are strong social norms against gender and racial biases. This does not hold to the same extent for political biases. Political biases can thus more powerfully influence people, which increases the chances that these biases become embedded in algorithms and makes algorithmic political biases harder to detect and eradicate than gender and racial biases even though they all can produce similar harm. Since some algorithms can now also easily identify people’s political orientations against their will, these problems are exacerbated. Algorithmic political bias thus raises substantial and distinctive risks that the AI community should be aware of and examine. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Reviewed by:Literature as Sheltering the HumanJohn Durham PetersLiterature as Sheltering the Human, by Frederic Will; 203 pp. Lewiston, Maine: Edwin Mellen Press, 1993, $69.95.This volume contains thirteen essays by Frederic Will, poet, critic, ex-professor of literature, autobiographer, translator, man of letters. All concern the peculiar powers of literature to offer spiritual comfort and protection against the storms of life.A cluster of four theoretical essays begins the collection. The first (...) surveys Husserl’s intellectual offspring, Merleau-Ponty, Sartre, and Heidegger, and seeks in their philosophies of language a grounding for literature’s uniqueness. The second essay argues that everyday language is always on the verge of entropy, but at its best, can be sublimated into literature. The third essay is a fiction of a crazed lit professor trying to master “the whole of literature” (p. 41). The eternally elusive object of “literature” turns out to evoke erotic-aggressive energies. The fourth essay on “Influencing the Past” rehearses some Benjaminian and Borgesian themes about literary influence being not causality, but intertextual resonance.The next set of five essays—which Will calls a “testimony” (p. 133) or “hit and run theology” (p. 138)—forms the core of the book. They treat “sheltering the human” in Homer, the Bible, Sappho, the Bhagavad Gita, and the epistles of St. Paul. Each ponders an enclosure—a retreat from battle, a womb, an act of translation, an inward wrestle of conscience, the blood of Christ—made of words. To my mind, this is the best part of the book: a steady meditation, graced with poetic lines and steeped in wide learning, on the proposition that “poetically man dwells.” Here Will performs the humane survey of world-literature he elsewhere extolls.The concluding section explores the relation of literature to the other arts. There is an essay on the gradual discovery of the oral core of Greek literature, largely through German scholarship, and one on literature’s relation to the other arts, which argues for its unique centrality among human expressive forms, thanks to its alleged continuity with the essential human possession, language. The penultimate essay meditates on Adorno’s aesthetics of music (concluding on an affirmative note not quite in tune with Adorno’s gloomy musings on capitalism), and the grand finale muses on the relation of art to life, via the dubious conceit of “art” as a great resort hotel.The book is remarkable for an intense and bald aestheticism that is exceedingly rare today. Will calls literature “the ripest offspring of language” (p. 1) and is happy to speak of masterpieces, genius, revelation, the autonomy of art, classics, humanism, values lodged in the structure of the universe (p. 125), universal validity (p. 131), “texts high in redemptive claim” (p. 147), the continuing necessity of the classical tradition (p. 190), and the artist as all but a different species (p. 200). The faith in a totality called “literature” is, to put it lightly, out of season in the academy today. As Will, a confirmed foe of [End Page 387] academic politics and pedantry, might well suggest, this may speak in its favor. Though Will’s aestheticism may refresh, I cannot help but wonder with Adorno whether some forms of expression and faith are objectively impossible in certain eras. Can “literature” sustain credulity today as anything more than one among many remarkable human practices?There is something, if I may say it, sheltered about these essays. If, as J. S. Mill said, eloquence is heard but poetry is overheard, this work is more poetry than eloquence. It features repeated and unannounced autobiographical intrusions. The self-reflexive quality supplies ready phrases to the reviewer: Will calls himself a “fallen contemporary classicist,” praises “high-minded eclecticism” and favors those thinkers who “sensualize knowing.” These traits make for a rare voice singing in the cornfields of Iowa.John Durham PetersUniversity of IowaCopyright © 1995 The Johns Hopkins University Press... (shrink)

The brain, rather than being homogeneous, displays an almost infinite topological genus, since it is punctured with a high number of “cavities”. We might think to the brain as a sponge equipped with countless, uniformly placed, holes. Here we show how these holes, termed topological vortexes, stand for nesting, non-concentric brain signal cycles resulting from the activity of inhibitory neurons. Such inhibitory spike activity is inversely correlated with its counterpart, i.e., the excitatory spike activity propagating throughout the whole brain tissue. (...) We illustrate how Pascal’s triangles and linear and nonlinear arithmetic octahedrons are capable of describing the three-dimensional random walks generated by the inhbitory/excitatory activity of the nervous tissue. In case of nonlinear 3D paths, the trajectories of excitatory spiking oscillations can be depicted as the operation of filling the numbers of octahedrons in the form of “islands of numbers”: this leads to excitatory neuronal assemblies, spaced out by empty areas of inhibitory neuronal assemblies. These mathematical procedures allow us to describe the topology of a brain of infinite genus, to represent inhibitory neurons in terms of Betti numbers and to highlight how spike diffusion in neural tissues is generated by the random activation of tiny groups of excitatory neurons. Our approach suggests the existence of a strong mathematical background subtending the intricate oscillatory activity of the central nervous system. (shrink)

Introduction to Education provides pre-service teachers with an overview of the context, craft and practice of teaching in Australian schools as they commence the journey from learner to classroom teacher. Each chapter poses questions about the nature of teaching students, and guides readers though the Australian Professional Standards for Teachers. Incorporating recent research and theoretical literature, Introduction to Education presents a critical consideration of the professional, policy and curriculum contexts of teaching in Australia. The book covers theoretical topics in chapters (...) addressing assessment, planning, safe learning environments, and working with colleagues, families, carers and communities. More practical chapters discuss professional experience and building a career after graduation. Rigorous in conception and practical in scope, Introduction to Education welcomes new educators to the theory and practical elements of teaching, learning, and professional practice. (shrink)

It has been argued that implicit biases are operative in philosophy and lead to significant epistemic costs in the field. Philosophers working on this issue have focussed mainly on implicit gender and race biases. They have overlooked ideological bias, which targets political orientations. Psychologists have found ideological bias in their field and have argued that it has negative epistemic effects on scientific research. I relate this debate to the field of philosophy and argue that if, as some studies suggest, the (...) same bias also exists in philosophy then it will lead to hitherto unrecognised epistemic hazards in the field. Furthermore, the bias is epistemically different from the more familiar biases in respects that are important for epistemology, ethics, and metaphilosophy. (shrink)

This talk was given Monday 13 May 2002 at Monash University in Melbourne, Australia, and previously to summer visitors at the IBM Watson Research Center in 2001. There are no section titles; the displayed material is what I wrote on the whiteboard as I spoke.

People who habituate to stress show a repetition-induced response attenuation—neuroendocrine, cardiovascular, neuroenergetic, and emotional—when exposed to a threatening environment. But the exact dynamics underlying stress habituation remain obscure. The free energy principle offers a unifying account of self-organising systems such as the human brain. In this paper, we elaborate on how stress habituation can be explained and modelled using the free energy principle. We introduce habituation priors that encode the agent’s tendency for stress habituation and incorporate them in the agent’s (...) decision-making process. Using differently shaped goal priors—that encode the agent’s goal preferences—we illustrate, in two examples, the optimising behaviour of agents. We show that habituation minimises free energy by reducing the precision of goal preferences. Reducing the precision of goal priors means that the agent accepts adverse states. Acceptance or tolerance of adverse outcomes may explain why habituation causes people to exhibit an attenuation of the stress response. Given that stress habituation occurs in brain regions where goal priors are encoded, i.e., in the ventromedial prefrontal cortex and that these priors are encoded as sufficient statistics of probability distributions, our approach seems plausible from an anatomical-functional and neuro-statistical point of view. The ensuing formal and generalisable account—based on the free energy principle—further motivate our novel treatment of stress habituation. Our analysis suggests that stress habituation has far-reaching consequences, protecting against the harmful effects of toxic stress, but on the other hand making the acceptability of precarious living conditions and the development of the obese type 2 diabetes mellitus phenotype more likely. (shrink)

educated man1 Some further reflections 1 The comparison with 'reform' In reflecting, in the past, on the sort of term that 'education' is I have usually ...

Selective scientific realists disagree on which theoretical posits should be regarded as essential to the empirical success of a scientific theory. A satisfactory account of essentialness will show that the (approximate) truth of the selected posits adequately explains the success of the theory. Therefore, (a) the essential elements must be discernible prospectively; (b) there cannot be a priori criteria regarding which type of posit is essential; and (c) the overall success of a theory, or ‘cluster’ of propositions, not only individual (...) derivations, should be explicable. Given these desiderata, I propose a “unification criterion” for identifying essential elements. (shrink)

While caregiving in northern, rural and remote communities takes place in the context of conditions unique to smaller communities, caregivers live with social policies that are shaped by urban norms rather than rural realities. In times of economic decline and government cuts rural issues of limited services and infrastructure as well as dependency on a single industry can lead to unemployment, community and family instability, and a decline in health and well-being. During these times caregivers face increased pressure to voluntarily (...) fill the gaps left by service cuts. Research with women caregivers in four communities in northern British Columbia (BC), Canada explores the experiences of caring and the social, geographic, economic and political contexts within which the caregiving occurs. The discourse of economic efficiencies that speaks solely to the monetary value of care is contrasted with the human condition of connectedness and relationships. These two contradictory perspectives are uncovered during interviews with women caregivers and analyzed in the framework of Olena Hankivsky's discussion of an ethic of care. (shrink)

The English language now dominates scientific communications. Yet, many scientists have English as their second language. Their English proficiency may therefore often be more limited than that of a ‘native speaker’, and their scientific contributions (e.g. manuscripts) in English may frequently contain linguistic features that disrupt the fluency of a reader’s, or listener’s information processing even when the contributions are understandable. Scientific gatekeepers (e.g. journal reviewers) sometimes cite these features to justify negative decisions on manuscripts. Such justifications may rest on (...) the prima facie plausible assumption that linguistic characteristics that hinder fast and easy understandability of scientific contributions are epistemically undesirable in science. I shall raise some doubts about this assumption by drawing on empirical research on processing fluency and its biasing effects. I also argue that directing scientists with English as a foreign language toward approaching ‘native-level’ English can have the negative consequence of reducing their potential to make scientific belief formation more reliable. These points suggest that one seemingly compelling justification for linguistically discriminating against scientific contributions in ‘non-native’ English is questionable and that the common insistence by scientific gatekeepers on ‘native-like’ English may be epistemically harmful to science. (shrink)

Why do we engage in folk psychology, that is, why do we think about and ascribe propositional attitudes such as beliefs, desires, intentions etc. to people? On the standard view, folk psychology is primarily for mindreading, for detecting mental states and explaining and/or predicting people’s behaviour in terms of them. In contrast, McGeer (1996, 2007, 2015), and Zawidzki (2008, 2013) maintain that folk psychology is not primarily for mindreading but for mindshaping, that is, for moulding people’s behavior and minds (e.g., (...) via the imposition of social norms) so that coordination becomes easier. Mindreading is derived from and only as effective as it is because of mindshaping, not vice versa. I critically assess McGeer’s, and Zawidzki’s proposal and contend that three common motivations for the mindshaping view do not provide sufficient support for their particular version of it. I argue furthermore that their proposal underestimates the role that epistemic processing plays for mindshaping. And I provide reasons for favouring an alternative according to which, in social cognition involving ascriptions of propositional attitudes, neither mindshaping nor mindreading is primary but both are complementary in that effective mindshaping depends as much on mindreading as effective mindreading depends on mindshaping. (shrink)

Demographic diversity might often be present in a group without group members noticing it. What are the epistemic effects if they do? Several philosophers and social scientists have recently argued that when individuals detect demographic diversity in their group, this can result in epistemic benefits even if that diversity doesn’t involve cognitive differences. Here I critically discuss research advocating this proposal, introduce a distinction between two types of detection of demographic diversity, and apply this distinction to the theorizing on diversity (...) in science. Focusing on ‘invisible’ diversity, I argue that in one common kind of group in science, if group members have full insight into their group’s diversity, this is likely to create epistemic costs. These costs can be avoided and epistemic benefits gained if group members only partly detect their group’s diversity. There is thus an epistemic reason for context-dependent limitations on scientists’ insight into the diversity of their group. (shrink)

It has been argued that our currently most satisfactory social epistemology of science can’t account for science that is based on artificial intelligence (AI) because this social epistemology requires trust between scientists that can take full responsibility for the research tools they use, and scientists can’t take full responsibility for the AI tools they use since these systems are epistemically opaque. I think this argument overlooks that much AI-based science can be done without opaque models, and that agents can take (...) full responsibility for the systems they use even if these systems are opaque. Requiring that an agent fully understand how a system works is an untenably strong condition for that agent to take full responsibility for the system and risks absolving AI developers from responsibility for their products. AI-based science need not create trust-related social epistemological problems if we keep in mind that what makes both individual scientists and their use of AI systems trustworthy isn’t full transparency of the internal processing but their adherence to social and institutional norms that ensure that scientific claims can be trusted. (shrink)

It is well known that on the Internet, computer algorithms track our website browsing, clicks, and search history to infer our preferences, interests, and goals. The nature of this algorithmic tracking remains unclear, however. Does it involve what many cognitive scientists and philosophers call ‘mindreading’, i.e., an epistemic capacity to attribute mental states to people to predict, explain, or influence their actions? Here I argue that it does. This is because humans are in a particular way embedded in the process (...) of algorithmic tracking. Specifically, if we endorse common conditions for extended cognition, then human mindreading (by website operators and users) is often literally extended into, that is, partly realized by, not merely causally coupled to, computer systems performing algorithmic tracking. The view that human mindreading extends outside the body into computers in this way has significant ethical advantages. It points to new conceptual ways to reclaim our autonomy and privacy in the face of increasing risks of computational control and online manipulation. These benefits speak in favor of endorsing the notion of extended mindreading. (shrink)

It has recently been suggested that politically motivated cognition leads progressive individuals to form beliefs that underestimate real differences between social groups and to process information selectively to support these beliefs and an egalitarian outlook. I contend that this tendency, which I shall call ‘egalitarian confirmation bias’, is often ‘Mandevillian’ in nature. That is, while it is epistemically problematic in one’s own cognition, it often has effects that significantly improve other people’s truth tracking, especially that of stigmatized individuals in academia. (...) Due to its Mandevillian character, egalitarian confirmation bias isn’t only epistemically but also ethically beneficial, as it helps decrease social injustice. Moreover, since egalitarian confirmation bias has Mandevillian effects especially in academia, and since progressives are particularly likely to display the bias, there is an epistemic reason for maintaining the often-noted political majority of progressives in academia. That is, while many researchers hold that diversity in academia is epistemically beneficial because it helps reduce bias, I argue that precisely because political diversity would help reduce egalitarian confirmation bias, it would in fact in one important sense be epistemically costly. (shrink)

Drawing on empirical findings, a number of philosophers have recently argued that people who use English as a foreign language may face a linguistic bias in academia in that they or their contributions may be perceived more negatively than warranted because of their English. I take a critical look at this argument. I first distinguish different phenomena that may be conceptualized as linguistic bias but that should be kept separate to avoid overgeneralizations. I then examine a range of empirical studies (...) that philosophers have cited to argue that people who use English as a foreign language are subject to linguistic bias in academia. I contend that many of these studies do not sufficiently support key claims that philosophers have made about linguistic bias, are challenged by counterevidence, and lack generalizability. I end by introducing methodological recommendations that may help philosophers develop more convincing empirically informed arguments regarding linguistic bias. (shrink)

Many philosophers hold that generics (i.e., unquantified generalizations) are pervasive in communication and that when they are about social groups, this may offend and polarize people because generics gloss over variations between individuals. Generics about social groups might be particularly common on Twitter (X). This remains unexplored, however. Using machine learning (ML) techniques, we therefore developed an automatic classifier for social generics, applied it to 1.1 million tweets about people, and analyzed the tweets. While it is often suggested that generics (...) are ubiquitous in everyday communication, we found that most tweets (78%) about people contained no generics. However, tweets with generics received more “likes” and retweets. Furthermore, while recent psychological research may lead to the prediction that tweets with generics about political groups are more common than tweets with generics about ethnic groups, we found the opposite. However, consistent with recent claims that political animosity is less constrained by social norms than animosity against gender and ethnic groups, negative tweets with generics about political groups were significantly more prevalent and retweeted than negative tweets about ethnic groups. Our study provides the first ML-based insights into the use and impact of social generics on Twitter. (shrink)

Increasing globalization of the nursing workforce and the desire for migrants to realize their full potential in their host country is an important public policy and management issue. Several studies have examined the challenges migrant nurses face as they seek licensure and access to international work. However, fewer studies examine the barriers and challenges internationally educated nurses (IEN) experience transitioning into the workforces after they achieve initial registration in their adopted country. In this article, the authors report findings from an (...) empirically grounded study that examines the experience of IENs who entered Ontario’s workforce between 2003 and 2005. We found that migrant nurses unanimously described nursing as ‘different’ from that in their country of origin. Specifically, IENs reported differences in the expectations of professional nursing practice and the role of patients and families in decision‐making. In addition, problems with English language fluency cause work‐related stress and cognitive fatigue. Finally, the experience of being the outsider is a reality for many IENs. This study provides important insights as policy and management decision‐makers balance the tension between increasing the IEN workforce and the delivery of safe patient care. (shrink)

Can AI developers be held epistemically responsible for the processing of their AI systems when these systems are epistemically opaque? And can explainable AI (XAI) provide public justificatory reasons for opaque AI systems’ outputs? Koskinen (2024) gives negative answers to both questions. Here, I respond to her and argue for affirmative answers. More generally, I suggest that when considering people’s uncertainty about the factors causally determining an opaque AI’s output, it might be worth keeping in mind that a degree of (...) uncertainty about conclusions is inevitable even in entirely human-based empirical science because in induction there’s always a risk of getting it wrong. Keeping this in mind may help appreciate that requiring full transparency from AI systems before epistemically trusting their outputs might be unusually (and potentially overly) demanding. (shrink)

Around the year 350, a young orator and philosopher called Themistius delivered a speech to the Emperor Constantius II in Ancyra. Themistius found great favor with the Emperor, who catapulted him into the Constantinople Senate in 355. He was similarly favored by subsequent emperors – Jovian, Valens and Theodosius. This volume presents translations of a selection of the speeches of Themistius, grouped into chapters that deal either with a key period in the evolution of his career or with a sequence (...) of events of particular historical significance. (shrink)