Biased Evaluative Descriptions.

In this essay I identify a type of linguistic phenomenon new to feminist philosophy of language: biased evaluative descriptions. Biased evaluative descriptions are descriptions whose well-intended positive surface meanings are inflected with implicitly biased content. Biased evaluative descriptions...

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Publicado en:Journal of the American Philosophical Association Vol. 10; no. 2; pp. 295 - 313
Autor principal: BERNSTEIN, SARA
Formato: Artículo
Publicado: Cambridge University Press Jun2024
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Biased Evaluative Descriptions.
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        au: BERNSTEIN, SARA
        affil: UNIVERSITY OF NOTRE DAME
      su:
        Social groups
        Implicit bias
        Feminist theory
        Political oratory
        Group identity
      sug:
        subj:
          Social groups
          Implicit bias
          Feminist theory
          Political oratory
          Group identity
      ab: In this essay I identify a type of linguistic phenomenon new to feminist philosophy of language: biased evaluative descriptions. Biased evaluative descriptions are descriptions whose well-intended positive surface meanings are inflected with implicitly biased content. Biased evaluative descriptions are characterized by three main features: (1) they have roots in implicit bias or benevolent sexism, (2) their application is counterfactually unstable across dominant and subordinate social groups, and (3) they encode stereotypes. After giving several different kinds of examples of biased evaluative descriptions, I distinguish them from similar linguistic concepts, including backhanded compliments, slurs, insults, epithets, pejoratives, and dog whistles. I suggest that the traditional framework of Gricean implicature cannot account for biased evaluative descriptions. I discuss some challenges to the distinctiveness and evaluability of biased evaluative descriptions, including intersectional social identities. I conclude by discussing their social significance and moral status. Identifying biased evaluative descriptions is important for a variety of social contexts, from the very general and broad (political speeches) to the very particular and small (bias in academic hiring).
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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          year: 2024
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