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  1. (1 other version)What's epistemology for? The case for neopragmatism in normative metaepistemology.Jonathan M. Weinberg - 2006 - In Stephen Cade Hetherington (ed.), Epistemology futures. New York: Oxford University Press. pp. 26--47.
    How ought we to go about forming and revising our beliefs, arguing and debating our reasons, and investigating our world? If those questions constitute normative epistemology, then I am interested here in normative metaepistemology: the investigation into how we ought to go about forming and revising our beliefs about how we ought to go about forming and revising our beliefs -- how we ought to argue about how we ought to argue. Such investigations have become urgent of late, for the (...)
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  2. The Methodological Necessity of Experimental Philosophy.Jonathan M. Weinberg - 2015 - Discipline Filosofiche 25 (1):23-42.
    Must philosophers incorporate tools of experimental science into their methodological toolbox? I argue here that they must. Tallying up all the resources that are now part of standard practice in analytic philosophy, we see the problem that they do not include adequate resources for detecting and correcting for their own biases and proclivities towards error. Methodologically sufficient resources for error- detection and error-correction can only come, in part, from the deployment of specific methods from the sciences. However, we need not (...)
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  3. Experimental Philosophy, Noisy Intuitions, and Messy Inferences.Jonathan M. Weinberg - 2016 - In Jennifer Nado (ed.), Advances in Experimental Philosophy & Philosophical Methodology. New York: Bloomsbury Academic.
    Much discussion about experimental philosophy and philosophical methodology has been framed in terms of the reliability of intuitions, and even when it has not been about reliability per se, it has been focused on whether intuitions meet whatever conditions they need to meet to be trustworthy as evidence. But really that question cannot be answered independently from the questions, evidence for what theories arrived at by what sorts of inferences? I will contend here that not just philosophy's sources of evidence, (...)
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  4. Knowledge, Noise, and Curve-Fitting: A methodological argument for JTB?Jonathan M. Weinberg - 2017 - In Rodrigo Borges, Claudio de Almeida & Peter David Klein (eds.), Explaining Knowledge: New Essays on the Gettier Problem. Oxford, United Kingdom: Oxford University Press.
    The developing body of empirical work on the "Gettier effect" indicates that, in general, the presence of a Gettier-type structure in a case makes participants less likely to attribute knowledge in that case. But is that a sufficient reason to diverge from a JTB theory of knowledge? I argue that considerations of good model selection, and worries about noise and overfitting, should lead us to consider that a live, open question. The Gettier effect is perhaps so transient, and so sensitive (...)
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