Results for 'Theodore F. Sullivan'

964 found
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  1. Analyticity without synonymy in simple comparative logic.Theodore J. Everett - 2002 - Synthese 130 (2):303 - 315.
    In this paper I provide some formal schemas for the analysis of vague predicates in terms of a set of semantic relations other than classical synonymy, including weak synonymy (as between "large" and "huge"), antonymy (as between "large" and "small"), relativity (as between "large" and "large for a dog"), and a kind of supervenience (as between "large" and "wide" or "long"). All of these relations are representable in the simple comparative logic CL, in accordance with the basic formula: the more (...)
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  2. Dialética negativa e radicalismo negro: Angela Davis nos anos 1960.Raphael F. Alvarenga - 2018 - Blog da Boitempo.
    The article focuses on a chapter of the biography of Angela Davis which, unless mistaken, has not yet received due attention: the training and intellectual experience with her German professors, Herbert Marcuse and Theodor W. Adorno. From the philosophical studies in Frankfurt in the 1960s to the more recent reflections on movements such as Black Lives Matter, there seems to be a continuity in the way she approaches contemporary social reality, a démarche that draws its strength from the original combination (...)
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  3. Theodore Sider: Writing the Book of the World. [REVIEW]Matej Drobňák - 2016 - Organon F: Medzinárodný Časopis Pre Analytickú Filozofiu 23:1.
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  4. Criticism from within nature.Italo Testa - 2007 - Philosophy and Social Criticism 33 (4):473-497.
    I tackle the definition of the relation between first and second nature while examining some problems with McDowell's conception. This, in the first place, will bring out the need to extend the notion of second nature to the social dimension, understanding it not just as `inner' second nature — individual mind — but also as `outer' second nature — objective spirit. In the second place the dialectical connection between these two notions of second nature will point the way to a (...)
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  5. A Consolidação da Sociedade Capitalista e a Ciência da Sociedade.Emanuel Isaque Cordeiro da Silva - manuscript
    PREMISSA No século XIX, ocorreram transformações impulsionadas pela emergência de novas fontes energéticas (água e petróleo), por novos ramos industriais e pela alteração profunda nos processos produtivos, com a introdução de novas máquinas e equipamentos. Depois de 300 anos de exploração por parte das nações europeias, iniciou -se, principalmente nas colônias latino-americanas, um processo intenso de lutas pela independência. É no século XIX, já com a consolidação do sistema capitalista na Europa, que se encontra a herança intelectual mais próxima da (...)
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  6. História do pensamento social na Alemanha: uma abordagem histórica.Emanuel Isaque Cordeiro da Silva - manuscript
    HISTÓRIA DA SOCIOLOGIA: O DESENVOLVIMENTO DA SOCIOLOGIA I -/- A SOCIOLOGIA NA ALEMANHA -/- -/- HISTORY OF SOCIOLOGY: THE DEVELOPMENT OF SOCIOLOGY I -/- SOCIOLOGY IN GERMANY -/- -/- -/- Emanuel Isaque Cordeiro da Silva – IFPE-BJ, CAP-UFPE e UFRPE. E-mail's: [email protected] e [email protected]. WhatsApp: (82)9.8143-8399. -/- PREMISSA -/- Na Alemanha, a Sociologia foi profundamente influenciada pela discussão filosófica, histórica e metodológica que se desenvolveu entre o final do século XIX e o início do século XX. Em seus fundamentos encontra-se (...)
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  7. Explanation Hacking: The perils of algorithmic recourse.E. Sullivan & Atoosa Kasirzadeh - forthcoming - In Juan Manuel Durán & Giorgia Pozzi (eds.), Philosophy of science for machine learning: Core issues and new perspectives. Springer.
    We argue that the trend toward providing users with feasible and actionable explanations of AI decisions—known as recourse explanations—comes with ethical downsides. Specifically, we argue that recourse explanations face several conceptual pitfalls and can lead to problematic explanation hacking, which undermines their ethical status. As an alternative, we advocate that explanations of AI decisions should aim at understanding.
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  8. SIDEs: Separating Idealization from Deceptive ‘Explanations’ in xAI.Emily Sullivan - forthcoming - Proceedings of the 2024 Acm Conference on Fairness, Accountability, and Transparency.
    Explainable AI (xAI) methods are important for establishing trust in using black-box models. However, recent criticism has mounted against current xAI methods that they disagree, are necessarily false, and can be manipulated, which has started to undermine the deployment of black-box models. Rudin (2019) goes so far as to say that we should stop using black-box models altogether in high-stakes cases because xAI explanations ‘must be wrong’. However, strict fidelity to the truth is historically not a desideratum in science. Idealizations (...)
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  9. Exploring Regulatory Flexibility to Create Novel Incentives to Optimize Drug Discovery.Jacqueline A. Sullivan & E. Richard Gold - 2024 - Frontiers in Medicine 11 (Section on Regulatory Science).
    Efforts by governments, firms, and patients to deliver pioneering drugs for critical health needs face a challenge of diminishing efficiency in developing those medicines. While multi-sectoral collaborations involving firms, researchers, patients, and policymakers are widely recognized as crucial for countering this decline, existing incentives to engage in drug development predominantly target drug manufacturers and thereby do little to stimulate collaborative innovation. In this mini review, we consider the unexplored potential within pharmaceutical regulations to create novel incentives to encourage a diverse (...)
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  10. Understanding from Machine Learning Models.Emily Sullivan - 2022 - British Journal for the Philosophy of Science 73 (1):109-133.
    Simple idealized models seem to provide more understanding than opaque, complex, and hyper-realistic models. However, an increasing number of scientists are going in the opposite direction by utilizing opaque machine learning models to make predictions and draw inferences, suggesting that scientists are opting for models that have less potential for understanding. Are scientists trading understanding for some other epistemic or pragmatic good when they choose a machine learning model? Or are the assumptions behind why minimal models provide understanding misguided? In (...)
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  11. The multiplicity of experimental protocols: A challenge to reductionist and non-reductionist models of the unity of neuroscience.Jacqueline A. Sullivan - 2009 - Synthese 167 (3):511-539.
    Descriptive accounts of the nature of explanation in neuroscience and the global goals of such explanation have recently proliferated in the philosophy of neuroscience and with them new understandings of the experimental practices of neuroscientists have emerged. In this paper, I consider two models of such practices; one that takes them to be reductive; another that takes them to be integrative. I investigate those areas of the neuroscience of learning and memory from which the examples used to substantiate these models (...)
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  12. Achieving Cumulative Progress In Understanding Crime: Some Insights from the Philosophy of Science.Jacqueline Anne Sullivan - forthcoming - Psychology, Crime and Law.
    Crime is a serious social problem, but its causes are not exclusively social. There is growing consensus that explaining and preventing it requires interdisciplinary research efforts. Indeed, the landscape of contemporary criminology includes a variety of theoretical models that incorporate psychological, biological and sociological factors. These multi-disciplinary approaches, however, have yet to radically advance scientific understandings of crime and shed light on how to manage it. In this paper, using conceptual tools on offer in the philosophy of science in combination (...)
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  13. Vulnerability in Social Epistemic Networks.Emily Sullivan, Max Sondag, Ignaz Rutter, Wouter Meulemans, Scott Cunningham, Bettina Speckmann & Mark Alfano - 2020 - International Journal of Philosophical Studies 28 (5):1-23.
    Social epistemologists should be well-equipped to explain and evaluate the growing vulnerabilities associated with filter bubbles, echo chambers, and group polarization in social media. However, almost all social epistemology has been built for social contexts that involve merely a speaker-hearer dyad. Filter bubbles, echo chambers, and group polarization all presuppose much larger and more complex network structures. In this paper, we lay the groundwork for a properly social epistemology that gives the role and structure of networks their due. In particular, (...)
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  14. More than consent for ethical open-label placebo research.Laura Specker Sullivan - 2021 - Journal of Medical Ethics 47 (12):e7-e7.
    Recent studies have explored the effectiveness of open-label placebos for a variety of conditions, including chronic pain, cancer-related fatigue and irritable bowel syndrome. OLPs are thought to sidestep traditional ethical worries about placebos because they do not involve deception: with an OLP, patients or subjects are told outright that they are not given an active substance. As deception is framed as the primary hurdle to ethical placebo use, the door is ostensibly opened to ethical studies of OLPs. In this article, (...)
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  15. Inductive Risk, Understanding, and Opaque Machine Learning Models.Emily Sullivan - 2022 - Philosophy of Science 89 (5):1065-1074.
    Under what conditions does machine learning (ML) model opacity inhibit the possibility of explaining and understanding phenomena? In this article, I argue that nonepistemic values give shape to the ML opacity problem even if we keep researcher interests fixed. Treating ML models as an instance of doing model-based science to explain and understand phenomena reveals that there is (i) an external opacity problem, where the presence of inductive risk imposes higher standards on externally validating models, and (ii) an internal opacity (...)
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  16. Trust, Risk, and Race in American Medicine.Laura Specker Sullivan - 2020 - Hastings Center Report 50 (1):18-26.
    Trust is a core feature of the physician-patient relationship, and risk is central to trust. Patients take risks when they trust their providers to care for them effectively and appropriately. Not all patients take these risks: some medical relationships are marked by mistrust and suspicion. Empirical evidence suggests that some patients and families of color in the United States may be more likely to mistrust their providers and to be suspicious of specific medical practices and institutions. Given both historical and (...)
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  17. Coordinated pluralism as a means to facilitate integrative taxonomies of cognition.Jacqueline Anne Sullivan - 2017 - Philosophical Explorations 20 (2):129-145.
    The past decade has witnessed a growing awareness of conceptual and methodological hurdles within psychology and neuroscience that must be addressed for taxonomic and explanatory progress in understanding psychological functions to be possible. In this paper, I evaluate several recent knowledge-building initiatives aimed at overcoming these obstacles. I argue that while each initiative offers important insights about how to facilitate taxonomic and explanatory progress in psychology and neuroscience, only a “coordinated pluralism” that incorporates positive aspects of each initiative will have (...)
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  18. Neuroscientific Kinds Through the Lens of Scientific Practice.Jacqueline Anne Sullivan - 2015 - In Catherine Kendig (ed.), Natural Kinds and Classification in Scientific Practice. Routledge. pp. 47-56.
    In this chapter, I argue that scientific practice in the neurosciences of cognition is not conducive to the discovery of natural kinds of cognitive capacities. The “neurosciences of cognition” include cognitive neuroscience and cognitive neurobiology, two research areas that aim to understand how the brain gives rise to cognition and behavior. Some philosophers of neuroscience have claimed that explanatory progress in these research areas ultimately will result in the discovery of the underlying mechanisms of cognitive capacities. Once such mechanistic understanding (...)
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  19. Digital Wellness and Persuasive Technologies.Laura Specker Sullivan & Peter Reiner - 2019 - Philosophy and Technology 34 (3):413-424.
    The development of personal technologies has recently shifted from devices that seek to capture user attention to those that aim to improve user well-being. Digital wellness technologies use the same attractive qualities of other persuasive apps to motivate users towards behaviors that are personally and socially valuable, such as exercise, wealth-management, and meaningful communication. While these aims are certainly an improvement over the market-driven motivations of earlier technologies, they retain their predecessors’ focus on influencing user behavior as a primary metric (...)
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  20. Moral Judgements: The Pursuit of Comfort and its Justification.Conor Sullivan - manuscript
    This paper explores how the three most common ethical theories, utilitarianism, deontology (specifically Kantianism), and Aristotelian virtue ethics seem to fail to adequately account for what justifies the obligations that our moral judgments hold on us, and where these moral judgements arise. This is because it appears that each of the three theories seems to be a different justification for the narcissistic pursuit of one’s own individual comfort, meaning that, people only act in a way that gives them the most (...)
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  21. Optogenetics, Pluralism, and Progress.Jacqueline Anne Sullivan - 2018 - Philosophy of Science 85 (00):1090-1101.
    Optogenetic techniques are described as “revolutionary” for the unprecedented causal control they allow neuroscientists to exert over neural activity in awake behaving animals. In this paper, I demonstrate by means of a case study that optogenetic techniques will only illuminate causal links between the brain and behavior to the extent that their error characteristics are known and, further, that determining these error characteristics requires comparison of optogenetic techniques with techniques having well known error characteristics and consideration of the broader neural (...)
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  22. Do ML models represent their targets?Emily Sullivan - forthcoming - Philosophy of Science.
    I argue that ML models used in science function as highly idealized toy models. If we treat ML models as a type of highly idealized toy model, then we can deploy standard representational and epistemic strategies from the toy model literature to explain why ML models can still provide epistemic success despite their lack of similarity to their targets.
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  23. The Argument from Non-belief: THEODORE M. DRANGE.Theodore M. Drange - 1993 - Religious Studies 29 (4):417-432.
    Attempts have been made to prove God's non-existence. Often this takes the form of an appeal to the so-called Argument from Evil: if God were to exist, then he would not permit as much suffering in the world as there actually is. Hence the fact that there is so much suffering constitutes evidence for God's non-existence. In this essay I propose a variation which I shall call ‘The Argument from Non-belief’. Its basic idea is that if God were to exist, (...)
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  24. Stabilizing Mental Disorders: Prospects and Problems.Jacqueline Anne Sullivan - 2014 - In H. Kincaid & J. Sullivan (eds.), Mental Kinds and Natural Kinds. MIT Press. pp. 257-281.
    In this chapter I investigate the kinds of changes that psychiatric kinds undergo when they become explanatory targets of areas of sciences that are not “mature” and are in the early stages of discovering mechanisms. The two areas of science that are the targets of my analysis are cognitive neuroscience and cognitive neurobiology.
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  25. Vectors of epistemic insecurity.Emily Sullivan & Mark Alfano - 2020 - In Ian James Kidd, Quassim Cassam & Heather Battaly (eds.), Vice Epistemology. New York, NY: Routledge.
    Epistemologists have addressed a variety of modal epistemic standings, such as sensitivity, safety, risk, and epistemic virtue. These concepts mark out the ways that beliefs can fail to track the truth, articulate the conditions needed for knowledge, and indicate ways to become a better epistemic agent. However, it is our contention that current ways of carving up epistemic modality ignore the complexities that emerge when individuals are embedded within a community and listening to a variety of sources, some of whom (...)
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  26. Fictional persuasion, transparency, and the aim of belief.Ema Sullivan-Bissett & Lisa Bortolotti - 2017 - In Ema Sullivan-Bissett, Helen Bradley & Paul Noordhof (eds.), Art and Belief. Oxford: Oxford University Press. pp. 153-73.
    In this chapter we argue that some beliefs present a problem for the truth-aim teleological account of belief, according to which it is constitutive of belief that it is aimed at truth. We draw on empirical literature which shows that subjects form beliefs about the real world when they read fictional narratives, even when those narratives are presented as fiction, and subjects are warned that the narratives may contain falsehoods. We consider Nishi Shah’s teleologist’s dilemma and a response to it (...)
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  27. Reconsidering 'spatial memory' and the Morris water maze.Jacqueline Anne Sullivan - 2010 - Synthese 177 (2):261-283.
    The Morris water maze has been put forward in the philosophy of neuroscience as an example of an experimental arrangement that may be used to delineate the cognitive faculty of spatial memory (e.g., Craver and Darden, Theory and method in the neurosciences, University of Pittsburgh Press, Pittsburgh, 2001; Craver, Explaining the brain: Mechanisms and the mosaic unity of neuroscience, Oxford University Press, Oxford, 2007). However, in the experimental and review literature on the water maze throughout the history of its use, (...)
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  28. Can Real Social Epistemic Networks Deliver the Wisdom of Crowds?Emily Sullivan, Max Sondag, Ignaz Rutter, Wouter Meulemans, Scott Cunningham, Bettina Speckmann & Mark Alfano - 2014 - In Tania Lombrozo, Joshua Knobe & Shaun Nichols (eds.), Oxford Studies in Experimental Philosophy, Volume 1. Oxford, GB: Oxford University Press UK.
    In this paper, we explain and showcase the promising methodology of testimonial network analysis and visualization for experimental epistemology, arguing that it can be used to gain insights and answer philosophical questions in social epistemology. Our use case is the epistemic community that discusses vaccine safety primarily in English on Twitter. In two studies, we show, using both statistical analysis and exploratory data visualization, that there is almost no neutral or ambivalent discussion of vaccine safety on Twitter. Roughly half the (...)
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  29. From Explanation to Recommendation: Ethical Standards for Algorithmic Recourse.Emily Sullivan & Philippe Verreault-Julien - forthcoming - Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society (AIES’22).
    People are increasingly subject to algorithmic decisions, and it is generally agreed that end-users should be provided an explanation or rationale for these decisions. There are different purposes that explanations can have, such as increasing user trust in the system or allowing users to contest the decision. One specific purpose that is gaining more traction is algorithmic recourse. We first pro- pose that recourse should be viewed as a recommendation problem, not an explanation problem. Then, we argue that the capability (...)
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  30. A Response to: "A Commentary on "Stabilizing Constructs through Collaboration across Different Research Fields as a Way to Foster the Integrative Approach of the Research Domain Criteria (RDoC) Project".Jacqueline A. Sullivan - 2016 - Frontiers in Human Neuroscience:00-00.
    This paper is a response to a commentary by Walter Glannon (2016, Frontiers in Human Neuroscience) on my paper "Stabilizing Constructs Across Research Fields as a Way to Foster the Integrative Approach of the Research Domain Criteria Project".
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  31. Epistemic disagreement in psychopathology research and practice: A procedural model.Tony Ward, Jacqueline Anne Sullivan & Russil Durrant - 2024 - Theory & Psychology.
    Clinical psychology is characterized by persistent disagreement about fundamental aspects of the discipline ranging from what mental disorders are to what constitutes effective treatment. Attempts to address the problem of epistemic disagreement have been frequently based on establishing the correct answer by fiat without identifying and addressing the sources of the disagreement. We argue that this strategy has not worked very well and the result is frequently ongoing and intractable disagreement, with each side in an argument convinced they are correct. (...)
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  32. A normative framework for sharing information online.Emily Sullivan & Mark Alfano - 2023 - In Carissa Véliz (ed.), The Oxford Handbook of Digital Ethics. Oxford University Press.
    People have always shared information through chains and networks of testimony. It’s arguably part of what makes us human and enables us to live in cooperative communities with populations greater than the Dunbar number. The invention of the Internet and the rise of social media have turbo-charged our ability to share information. In this chapter, we develop a normative framework for sharing information online. This framework takes into account both ethical and epistemic considerations that are intertwined in typical cases of (...)
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  33. Is the Next Frontier in Neuroscience a Decade of the Mind?Jacqueline Anne Sullivan - 2014 - In Charles T. Wolfe (ed.), Brain theory : essays in critical neurophilosophy. Palgrave-Macmillan.
    In 2007, ten world-renowned neuroscientists proposed “A Decade of the Mind Initiative.” The contention was that, despite the successes of the Decade of the Brain, “a fundamental understanding of how the brain gives rise to the mind [was] still lacking” (2007, 1321). The primary aims of the decade of the mind were “to build on the progress of the recent Decade of the Brain (1990-99)” by focusing on “four broad but intertwined areas” of research, including: healing and protecting, understanding, enriching, (...)
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  34. Experimentation in Cognitive Neuroscience and Cognitive Neurobiology.Jacqueline Anne Sullivan - 2014 - In Levy Neil & Clausen Jens (eds.), Handbook on Neuroethics. Springer.
    Neuroscience is a laboratory-based science that spans multiple levels of analysis from molecular genetics to behavior. At every level of analysis experiments are designed in order to answer empirical questions about phenomena of interest. Understanding the nature and structure of experimentation in neuroscience is fundamental for assessing the quality of the evidence produced by such experiments and the kinds of claims that are warranted by the data. This article provides a general conceptual framework for thinking about evidence and experimentation in (...)
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  35. Insight and the no‐self in deep brain stimulation.Laura Specker Sullivan - 2018 - Bioethics 33 (4):487-494.
    Ethical analyses of the effects of neural interventions commonly focus on changes to personality and behavior, interpreting these changes in terms of authenticity and identity. These phenomena have led to debate among ethicists about the meaning of these terms for ethical analysis of such interventions. While these theoretical approaches have different criteria for ethical significance, they agree that patients’ reports are concerning because a sense of self is valuable. In this paper, I question this assumption. I propose that the Buddhist (...)
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  36. (1 other version)Long-Term Potentiation: One Kind or Many?Jacqueline Sullivan - 2017 - In Marcus P. Adams, Zvi Biener, Uljana Feest & Jacqueline Anne Sullivan (eds.), Eppur Si Muove: Doing History and Philosophy of Science with Peter Machamer: A Collection of Essays in Honor of Peter Machamer. Dordrecht: Springer. pp. 127-140.
    Do neurobiologists aim to discover natural kinds? I address this question in this chapter via a critical analysis of classification practices operative across the 43-year history of research on long-term potentiation (LTP). I argue that this 43-year history supports the idea that the structure of scientific practice surrounding LTP research has remained an obstacle to the discovery of natural kinds.
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  37. Judging Mechanistic Neuroscience: A Preliminary Conceptual-Analytic Framework for Evaluating Scientific Evidence in the Courtroom.Jacqueline Anne Sullivan & Emily Baron - 2018 - Psychology, Crime and Law (00):00-00.
    The use of neuroscientific evidence in criminal trials has been steadily increasing. Despite progress made in recent decades in understanding the mechanisms of psychological and behavioral functioning, neuroscience is still in an early stage of development and its potential for influencing legal decision-making is highly contentious. Scholars disagree about whether or how neuroscientific evidence might impact prescriptions of criminal culpability, particularly in instances in which evidence of an accused’s history of mental illness or brain abnormality is offered to support a (...)
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  38. Stabilizing Constructs through Collaboration across Different Research Fields as a Way to Foster the Integrative Approach of the Research Domain Criteria (RDoC) Project.Jacqueline A. Sullivan - 2016 - Frontiers in Human Neuroscience (00):00.
    In this article, I explain why stabilizing constructs is important to the success of the Research Domain Criteria Project and identify one measure for facilitating such stability.
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  39. Motivated numeracy and active reasoning in a Western European sample.Paul Connor, Emily Sullivan, Mark Alfano & Nava Tintarev - 2020 - Behavioral Public Policy 1.
    Recent work by Kahan et al. (2017) on the psychology of motivated numeracy in the context of intracultural disagreement suggests that people are less likely to employ their capabilities when the evidence runs contrary to their political ideology. This research has so far been carried out primarily in the USA regarding the liberal–conservative divide over gun control regulation. In this paper, we present the results of a modified replication that included an active reasoning intervention with Western European participants regarding both (...)
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  40. How Values Shape the Machine Learning Opacity Problem.Emily Sullivan - 2022 - In Insa Lawler, Kareem Khalifa & Elay Shech (eds.), Scientific Understanding and Representation: Modeling in the Physical Sciences. New York, NY: Routledge. pp. 306-322.
    One of the main worries with machine learning model opacity is that we cannot know enough about how the model works to fully understand the decisions they make. But how much is model opacity really a problem? This chapter argues that the problem of machine learning model opacity is entangled with non-epistemic values. The chapter considers three different stages of the machine learning modeling process that corresponds to understanding phenomena: (i) model acceptance and linking the model to the phenomenon, (ii) (...)
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  41. Medical maternalism: beyond paternalism and antipaternalism.Laura Specker Sullivan - 2016 - Journal of Medical Ethics 42 (7):439-444.
    This paper argues that the concept of paternalism is currently overextended to include a variety of actions that, while resembling paternalistic actions, are importantly different. I use the example of Japanese physicians’ non-disclosures of cancer diagnoses directly to patients, arguing that the concept of maternalism better captures these actions. To act paternalistically is to substitute one's own judgement for that of another person and decide in place of that person for his/her best interest. By contrast, to act maternalistically is to (...)
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  42. Link Uncertainty, Implementation, and ML Opacity: A Reply to Tamir and Shech.Emily Sullivan - 2022 - In Insa Lawler, Kareem Khalifa & Elay Shech (eds.), Scientific Understanding and Representation: Modeling in the Physical Sciences. New York, NY: Routledge. pp. 341-345.
    This chapter responds to Michael Tamir and Elay Shech’s chapter “Understanding from Deep Learning Models in Context.”.
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  43. A Role for Representation in Cognitive Neurobiology.Jacqueline Anne Sullivan - 2010 - Philosophy of Science (Supplement) 77 (5):875-887.
    What role does the concept of representation play in the contexts of experimentation and explanation in cognitive neurobiology? In this article, a distinction is drawn between minimal and substantive roles for representation. It is argued by appeal to a case study that representation currently plays a role in cognitive neurobiology somewhere in between minimal and substantive and that this is problematic given the ultimate explanatory goals of cognitive neurobiological research. It is suggested that what is needed is for representation to (...)
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  44. Philosophical Perspectives on Multiculturalism.Stefan Sullivan - 1997 - In Michael A. Burayidi (ed.), Multiculturalism in a Cross-national Perspective. University Press of America.
    Sullivan surveys the philosophical problem-areas surrounding multiculturalism as an ideology of group-identity. While endorsing the claims of underrepresented minorities for recognition, the article sides with traditionalists in prioritizing the autonomy of the self-fashioning individual over ethnic or cultural affiliations. The multicultural challenge to Western logocentrism, its assertion of the implicit power structures embedded in truth claims, and the excesses of postmodern relativism are all subjected to measured criticism. Finally, the essay examines Habermas' role in postwar Germany's embrace of multiculturalism (...)
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  45. The Concept of Accountability in AI Ethics and Governance.Theodore Lechterman - 2023 - In Justin B. Bullock, Yu-Che Chen, Johannes Himmelreich, Valerie M. Hudson, Anton Korinek, Matthew M. Young & Baobao Zhang (eds.), The Oxford Handbook of AI Governance. Oxford University Press.
    Calls to hold artificial intelligence to account are intensifying. Activists and researchers alike warn of an “accountability gap” or even a “crisis of accountability” in AI. Meanwhile, several prominent scholars maintain that accountability holds the key to governing AI. But usage of the term varies widely in discussions of AI ethics and governance. This chapter begins by disambiguating some different senses and dimensions of accountability, distinguishing it from neighboring concepts, and identifying sources of confusion. It proceeds to explore the idea (...)
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  46. Understanding Stability in Cognitive Neuroscience Through Hacking's Lens.Jacqueline Anne Sullivan - 2021 - Philosophical Inquiries 1 (1):189-208.
    Ian Hacking instigated a revolution in 20th century philosophy of science by putting experiments (“interventions”) at the top of a philosophical agenda that historically had focused nearly exclusively on representations (“theories”). In this paper, I focus on a set of conceptual tools Hacking (1992) put forward to understand how laboratory sciences become stable and to explain what such stability meant for the prospects of unity of science and kind discovery in experimental science. I first use Hacking’s tools to understand sources (...)
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  47. Nishida Kitarō’s Kōiteki Chokkan: Active Intuition and Contemporary Metaethics.Laura Specker Sullivan - 2019 - In Colin Marshall (ed.), Comparative Metaethics: Neglected Perspectives on the Foundations of Morality. London: Routledge.
    I characterize Nishida Kitarō’s metaethical perspective throughout his work but focus especially on his later papers, most notably his writings on kōiteki chokkan, or active intuition. These include Kōiteki Chokkan no Tachiba (published in 1935), Kōiteki Chokkan (published in 1937), as well as Nothingness and the Religious Worldview (Bashoteki Ronri to Shūkyōteki Sekaikan, published in 1945, and widely available in translation). I explore affinities between Nishida’s approach to ethics and metaethical intuitionism and sensibility theory. I then use this analysis to (...)
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  48. Gender Is a Natural Kind with a Historical Essence.Theodore Bach - 2012 - Ethics 122 (2):231-272.
    Traditional debate on the metaphysics of gender has been a contrast of essentialist and social-constructionist positions. The standard reaction to this opposition is that neither position alone has the theoretical resources required to satisfy an equitable politics. This has caused a number of theorists to suggest ways in which gender is unified on the basis of social rather than biological characteristics but is “real” or “objective” nonetheless – a position I term social objectivism. This essay begins by making explicit the (...)
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  49. The concept of practice frameworks in correctional psychology.Jacqueline Anne Sullivan - forthcoming - Aggression and Violent Behavior.
    To develop rehabilitative treatment programs for persons who have committed crimes, correctional psychologists build theoretical structures that weld theoretical ideas about the causes of criminal behavior, theoretical perspectives about appropriate targets for correctional intervention and normative assumptions about crime and the aims of correctional intervention. To differentiate the tri-partite theoretical structure with which correctional program designers' work, Ward and Durrant (2021) introduce the metatheoretical concept of “practice frameworks”. In this paper, I describe and evaluate this concept, situating my analysis within (...)
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  50. Classifying Psychopathology: Mental Kinds and Natural Kinds.Harold Kincaid & Jacqueline Anne Sullivan - 2014 - In Harold Kincaid & Jacqueline Anne Sullivan (eds.), Classifying Psychopathology: Mental Kinds and Natural Kinds. MIT Press. pp. 1-10.
    In this volume, leading philosophers of psychiatry examine psychiatric classification systems, including the Diagnostic and Statistical Manual of Mental Disorders, asking whether current systems are sufficient for effective diagnosis, treatment, and research. Doing so, they take up the question of whether mental disorders are natural kinds, grounded in something in the outside world. Psychiatric categories based on natural kinds should group phenomena in such a way that they are subject to the same type of causal explanations and respond similarly to (...)
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