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  1. Corpus Analysis in Philosophy.Roland Bluhm - 2016 - In Martin Hinton (ed.), Evidence, Experiment, and Argument in Linguistics and the Philosophy of Language. New York: Peter Lang. pp. 91-109.
    The experimental philosophy movement advocates the use of empirical methods in philosophy. The methods most often discussed and in fact employed in experimental philosophy are appropriated from the experimental paradigm in psychology. But there is a variety of other (at least partly) empirical methods from various disciplines that are and others that could be used in philosophy. The paper explores the application of corpus analysis to philosophical issues. Although the method is well established in linguistics, there are only a few (...)
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  • Empirical Conceptual Analysis: An Exposition.Hristo Valchev - 2021 - Philosophia 50 (2):757-776.
    Conceptual analysis as traditionally understood can be improved by allowing the use of a certain kind of empirical investigation. The conceptual analysis in which the kind of empirical investigation in question is used can be called “empirical conceptual analysis”. In the present inquiry, I provide a systematic exposition of empirical conceptual analysis, so understood, considering what exactly empirical conceptual analysis is, the different kinds of empirical conceptual analysis, and the main application of the method within philosophy. It can be defined (...)
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  • Causal Attributions and Corpus Analysis.Sytsma Justin, Bluhm Roland, Willemsen Pascale & Reuter Kevin - forthcoming - In Eugen Fischer (ed.), Methodological Advances in Experimental Philosophy. Bloomsbury Press.
    Although philosophers have often held that causation is a purely descriptive notion, a growing body of experimental work on ordinary causal attributions using questionnaire methods indicates that it is heavily influenced by normative information. These results have been the subject of sceptical challenges. Additionally, those who find the results compelling have disagreed about how best to explain them. In this chapter, we help resolve these debates by using a new set of tools to investigate ordinary causal attributions—the methods of corpus (...)
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