A New Theory of Individualized Evidence

dc.contributor.advisorHorty, John Fen_US
dc.contributor.authorBarclay, Charles Arthuren_US
dc.contributor.departmentPhilosophyen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.date.accessioned2021-07-13T05:35:16Z
dc.date.available2021-07-13T05:35:16Z
dc.date.issued2021en_US
dc.description.abstractTheories of individualized evidence have been offered to show why, inter alia, we are not justified in finding a defendant legally responsible on the basis of mere statistical evidence even if the probability of his guilt is very high. Yet, there is little discussion of properties that we would want in a robust theory of individualized evidence. In my dissertation, I have four primary goals. First, I propose four desiderata that a robust theory of individualized evidence ought to possess. Then, I show how many contemporary theories of individualized evidence do not possess all four of the desirable properties. I then develop, what I call, legally relevant alternatives (or, LRA for short) - a theory of individualized evidence that is rooted in the relevant alternatives account of knowledge in epistemology. Finally, I show how LRA does satisfy the aforementioned desiderata.en_US
dc.identifierhttps://doi.org/10.13016/ackc-ynee
dc.identifier.urihttp://hdl.handle.net/1903/27373
dc.language.isoenen_US
dc.subject.pqcontrolledLawen_US
dc.subject.pqcontrolledEpistemologyen_US
dc.subject.pquncontrolledfact finderen_US
dc.subject.pquncontrolledindividualized evidenceen_US
dc.subject.pquncontrolledrelevant alternativesen_US
dc.subject.pquncontrolledresilienceen_US
dc.subject.pquncontrolledstatistical evidenceen_US
dc.subject.pquncontrolledweighten_US
dc.titleA New Theory of Individualized Evidenceen_US
dc.typeDissertationen_US

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