Results for 'Calum MacKellar'

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  1. Must We Be Perfect?: A Case Against Supererogation.Megan Fritts & Calum Miller - forthcoming - Inquiry: An Interdisciplinary Journal of Philosophy 63.
    In this paper we offer an argument against supererogation and in favour of moral perfectionism. We argue three primary points: 1) That the putative moral category is not generated by any of the main normative ethical systems, and it is difficult to find space for it in these systems at all; 2) That the primary support for supererogation is based on intuitions, which can be undercut by various other pieces of evidence; and 3) That there are better reasons to favour (...)
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  2. Beyond Infanticide: How Psychological Accounts of Persons Can Justify Harming Infants.Daniel Rodger, Bruce P. Blackshaw & Calum Miller - 2018 - The New Bioethics 24 (2):106-121.
    It is commonly argued that a serious right to life is grounded only in actual, relatively advanced psychological capacities a being has acquired. The moral permissibility of abortion is frequently argued for on these grounds. Increasingly it is being argued that such accounts also entail the permissibility of infanticide, with several proponents of these theories accepting this consequence. We show, however, that these accounts imply the permissibility of even more unpalatable acts than infanticide performed on infants: organ harvesting, live experimentation, (...)
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  3. Scientific Theories as Bayesian Nets: Structure and Evidence Sensitivity.Patrick Grim, Frank Seidl, Calum McNamara, Hinton E. Rago, Isabell N. Astor, Caroline Diaso & Peter Ryner - 2022 - Philosophy of Science 89 (1):42-69.
    We model scientific theories as Bayesian networks. Nodes carry credences and function as abstract representations of propositions within the structure. Directed links carry conditional probabilities and represent connections between those propositions. Updating is Bayesian across the network as a whole. The impact of evidence at one point within a scientific theory can have a very different impact on the network than does evidence of the same strength at a different point. A Bayesian model allows us to envisage and analyze the (...)
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