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The stability of social categories.

  • Published In: European Journal of Philosophy, 2023, v. 31, n. 1. P. 297 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Roth, Abraham Sesshu 3 of 3

Abstract

One important thesis Ásta defends in Categories We Live By is that social properties and categories are somehow dependent on our thoughts, attitudes, or practices—that they are inventions of the mind, projected onto the world. Another important aspect of her view is that the social properties are related to certain base properties; an individual is placed in a category when the relevant base properties are thought to hold of them. I see the relationship between the social and the base as connected to the problem of explaining how the social properties are sufficiently stable so as to be taken seriously, both in theoretical endeavors as well as in practical matters of how we relate to each other. In this light, I identify stability constraints for an adequate account of social categories. I argue that certain distinctive aspects of Ásta's conferralist view of social categories, such as the radical contextualism in her account of gender, undermine the stability of categories and are at odds with taking social categories seriously. I end with the suggestion that a distinctive "sheltered" form of normativity might help us do justice to Ásta's insights while avoiding some of the destabilizing elements of conferralism. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:European Journal of Philosophy. 2023/03, Vol. 31, Issue 1, p297
  • Document Type:Article
  • Subject Area:Social Sciences and Humanities
  • Publication Date:2023
  • ISSN:0966-8373
  • DOI:10.1111/ejop.12746
  • Accession Number:162510371
  • Copyright Statement:Copyright of European Journal of Philosophy is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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