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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 formal-ism of graphical causal modeling allows claims about the causal effects of occupying intersecting identity categories to be clearly represented and submitted to empirical test-ing. After outlining this causal interpretation of intersectional theory, we address some concerns that have been expressed in the literature claiming that membership in demo-graphic categories can have causal effects.
Comment: This text contains a summary of some key concepts in intersectionality theory and a discussion of how they have been used in empirical sociological research, as well as an introduction to methods of causal statistical inference. Students needing an introduction to any of these things could therefore benefit from this text. It also contains arguments about the permissibility of using demographic categories as the basis of causal claims that may be interesting matters of dispute or discussion for students of the philosophy of race.Export citation in BibTeX formatExport text citationView this text on PhilPapersExport citation in Reference Manager formatExport citation in EndNote formatExport citation in Zotero format
Bright, Liam Kofi. Causally Interpreting Intersectionality Theory
2016, Philosophy of Science 83(1): 60–81