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  1. Context in Mechanism-Based Explanation.Gianluca Pozzoni & Tuukka Kaidesoja - 2021 - Philosophy of the Social Sciences 51 (6):523-554.
    In this article, we discuss the issue of context-dependence of mechanism-based explanation in the social sciences. The different ways in which the context-dependence and context-independence of mechanism-based explanation have been understood in the social sciences are often motivated by different and apparently incompatible understandings of what explanatory mechanisms are. Instead, we suggest that the different varieties of context-dependence are best seen as corresponding to different research goals. Rather than conflicting with one another, these goals are complementary to each other and (...)
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  • Contrastive Explanations as Social Accounts.Kareem Khalifa - 2010 - Social Epistemology 24 (4):263-284.
    Explanatory contrastivists hold that we often explain phenomena of the form p rather than q. In this paper, I present a new, social‐epistemological model of contrastive explanation—accountabilism. Specifically, my view is inspired by social‐scientific research that treats explanations fundamentally as accounts; that is, communicative actions that restore one's social status when charged with questionable behaviour. After developing this model, I show how accountabilism provides a more comprehensive model of contrastive explanation than the causal models of contrastive explanation that are currently (...)
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  • On Becker’s Studies of Marijuana Use as an Example of Analytic Induction.Martyn Hammersley - 2011 - Philosophy of the Social Sciences 41 (4):535-566.
    Analytic induction (AI) is an interpretation of scientific method that emerged in early twentieth-century sociology and still has some influence today. Among the studies often cited as examples are Becker’s articles on marijuana use. While these have been given less attention than the work of Lindesmith on opiate addiction and Cressey on financial trust violation, Becker’s work has distinctive features. Furthermore, it raises some important and interesting issues that relate not only to AI but to social scientific explanation more generally. (...)
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  • Norms, invariance, and explanatory relevance.David Henderson - 2005 - Philosophy of the Social Sciences 35 (3):324-338.
    Descriptions of social norms can be explanatory. The erotetic approach to explanation provides a useful framework. I describe one very broad kind of explanation-seeking why-question, a genus that is common to the special sciences, and argue that descriptions of norms can serve as an answer to such why-questions. I draw upon Woodward’s recent discussion of the explanatory role of generalizations with a significant degree of invariance. Descriptions of norms provide what is, in effect, a generalization regarding the kind of historically (...)
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  • Making the abstract concrete: The role of norms and values in experimental modeling.Isabelle F. Peschard & Bas C. van Fraassen - 2014 - Studies in History and Philosophy of Science Part A 46:3-10.
    Experimental modeling is the construction of theoretical models hand in hand with experimental activity. As explained in Section 1, experimental modeling starts with claims about phenomena that use abstract concepts, concepts whose conditions of realization are not yet specified; and it ends with a concrete model of the phenomenon, a model that can be tested against data. This paper argues that this process from abstract concepts to concrete models involves judgments of relevance, which are irreducibly normative. In Section 2, we (...)
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