Results for 'Jaipreet Mattu'

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  1. Classification, Kinds, Taxonomic Stability, and Conceptual Change.Jaipreet Mattu & Jacqueline Anne Sullivan - forthcoming - Aggression and Violent Behavior.
    Scientists represent their world, grouping and organizing phenomena into classes by means of concepts. Philosophers of science have historically been interested in the nature of these concepts, the criteria that inform their application and the nature of the kinds that the concepts individuate. They also have sought to understand whether and how different systems of classification are related and more recently, how investigative practices shape conceptual development and change. Our aim in this paper is to provide a critical overview of (...)
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    Philosophy and Classic Psychedelics: A Review of Some Emerging Themes.Chris Letheby & Jaipreet Mattu - forthcoming - Journal of Psychedelic Studies.
    Serotonergic (or “classic”) psychedelics have struck many researchers as raising significant philosophical questions that, until recently, were largely unexplored by academic philosophers. This paper provides an overview of four emerging lines of research at the intersection of academic philosophy and psychedelic science that have gained considerable traction in the last decade: selfless consciousness, psychedelic epistemology, psychedelic ethics, and spiritual/religious naturalism. In this paper, we highlight philosophical questions concerning (i) psychedelics, self-consciousness, and phenomenal consciousness, (ii) the epistemic profile of the psychedelic (...)
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    Phyllis M. Tookey Kerridge and the Science of Audiometric Standardization in Britain.Jaipreet Virdi & Coreen Mcguire - 2018 - British Journal for the History of Science 51 (1):123-146.
    The provision of standardized hearing aids is now considered to be a crucial part of the UK National Health Service. Yet this is only explicable through reference to the career of a woman who has, until now, been entirely forgotten. Dr Phyllis Margaret Tookey Kerridge was an authoritative figure in a variety of fields: medicine, physiology, otology and the construction of scientific apparatus. The astounding breadth of her professional qualifications allowed her to combine features of these fields and, later in (...)
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    Bridging the Knowledge Gap: Examining Potential Limits in Nanomedicine.Jaipreet Virdi - 2008 - Spontaneous Generations 2 (1):25.
    Nanomedicine has the potential to transform medical therapy and diagnosis. Its technologies predict improved drug delivery systems with site-specific treatment, precise new surgical techniques that would reduce patient trauma and treatment cause, and even cellular repair that would make age-related conditions such as Alzheimer’s disease a thing of the past. Currently, nanomedicine products are reaching the world market with an annual growth rate of twenty-five percent. However, like any emerging new technology, along with doomsday scenarios of nanoparticles gone amuck, nanomedicine (...)
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  5. Kālajñāna Mattu Tatvabōdhāmr̥ta.Eṃ Dēvarakōṇḍappa - 2012 - Hañcikedāraru, Es Bi Es Pabliṣars Ḍisṭribyūṭars.
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  6. The Prose of J. S. Mill.Antonio Mattu - 1968 - Cagliari, Editrice Sarda Possataro.
     
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    Fritz Allhoff and Patrick Lin, Eds. Nanotechnology and Society: Current and Emerging Ethical Issues.Jaipreet Virdi - 2008 - Spontaneous Generations 2 (1):248.
    Nanotechnology & Society is the second anthology published by The Nanoethics Group and is a welcome addition to the emerging field of nanoethics. Editors Fritz Allhoff and Patrick Lin are among the leading philosophers in nanoethics and founders of The Nanoethics Group. While their first anthology, Nanoethics: The Ethical and Social Implications of Nanotechnology, presented a general introduction to critical issues in nanoethics, in this new book Allhoff and Lin recognize nanotechnology’s “strange schizophrenia”—as a brave new science filled with unlimited (...)
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    Learning From Artifacts: A Review of the “Reading Artifacts: Summer Institute in the Material Culture of Science,” Presented by The Canada Science and Technology Museum and Situating Science Cluster. [REVIEW]Jaipreet Virdi - 2010 - Spontaneous Generations 4 (1):276-279.
    Describing how the study of artifacts is greatly enhanced by an understanding of the history of museums, Ken Arnold remarks that there is “an implicit faith in the power of objects to tell, or at least ask, historians things that the written word alone cannot” (1999, p. 145). Rather than remaining mute objects or passive accessories to textual descriptions, artifacts (and the museums that house them) are tangible incarnations of the culture from which they emerged, providing unique information on the (...)
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    Prevention & Conservation: Historicizing the Stigma of Hearing Loss, 1910-1940.Jaipreet Virdi - 2017 - Journal of Law, Medicine and Ethics 45 (4):531-544.
    During the early twentieth century, otologists began collaborating with organizers of the New York League for the Hard of Hearing to build a bridge to “adjust the economic ratio” of deafness and create new research avenues for alleviating or curing hearing loss. This collegiality not only defined the medical discourse surrounding hearing impairment, anchoring it in hearing tests and hearing aid prescription, but, in so doing, solidified the notion that deafness was a “problem” in dire need of a “solution.” Public (...)
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  10. Dharmadalli Purva Mattu Pa Scima.S. Radhakrishnan & Saligrama Krishna Ramachandra Rao - 1968 - Gita Buk Haus.
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  11. Śivādvaita Paribhāṣā: Mūla Mattu Kannaḍānuvāda Sahita.Nīlakaṇṭha Śivācārya - 2004 - Śrī Jagadguru Rambhāpurī Vīrasiṃhāsana Mahāsaṃsthāna Pīṭha.
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  12. What's Wrong with Machine Bias.Clinton Castro - 2019 - Ergo: An Open Access Journal of Philosophy 6.
    Data-driven, decision-making technologies used in the justice system to inform decisions about bail, parole, and prison sentencing are biased against historically marginalized groups (Angwin, Larson, Mattu, & Kirchner 2016). But these technologies’ judgments—which reproduce patterns of wrongful discrimination embedded in the historical datasets that they are trained on—are well-evidenced. This presents a puzzle: how can we account for the wrong these judgments engender without also indicting morally permissible statistical inferences about persons? I motivate this puzzle and attempt an answer.
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