Causally Interpreting Intersectionality Theory

Philosophy of Science 83 (1):60-81 (2016)

Authors
Liam Kofi Bright
London School of Economics
Morgan Thompson
University of Pittsburgh
Abstract
Social scientists report difficulties in drawing out testable predictions from the literature on intersectionality theory. We alleviate that difficulty by showing that some characteristic claims of the intersectionality literature can be interpreted causally. The formalism of graphical causal modeling allows claims about the causal effects of occupying intersecting identity categories to be clearly represented and submitted to empirical testing. After outlining this causal interpretation of intersectional theory, we address some concerns that have been expressed in the literature claiming that membership in demographic categories can have causal effects.
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Reprint years 2016
DOI 10.1086/684173
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Explanations of the Gender Gap in Philosophy.Morgan Thompson - 2017 - Philosophy Compass 12 (3):e12406.
When Journal Editors Play Favorites.Remco Heesen - 2018 - Philosophical Studies 175 (4):831-858.

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