Stereotypes, Conceptual Centrality and Gender Bias: An Empirical Investigation

Ratio 30 (4):384-410 (2017)
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Discussions in social psychology overlook an important way in which biases can be encoded in conceptual representations. Most accounts of implicit bias focus on ‘mere associations’ between features and representations of social groups. While some have argued that some implicit biases must have a richer conceptual structure, they have said little about what this richer structure might be. To address this lacuna, we build on research in philosophy and cognitive science demonstrating that concepts represent dependency relations between features. These relations, in turn, determine the centrality of a feature f for a concept C: roughly, the more features of C depend on f, the more central f is for C. In this paper, we argue that the dependency networks that link features can encode significant biases. To support this claim, we present a series of studies that show how a particular brilliance-gender bias is encoded in the dependency networks which are part of the concepts of female and male academics. We also argue that biases which are encoded in dependency networks have unique implications for social cognition.

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Author Profiles

Alex Madva
California State Polytechnic University, Pomona
Guillermo Del Pinal
University of Massachusetts, Amherst
Kevin Reuter
University of Zürich

Citations of this work

Engineering Social Concepts: Feasibility and Causal Models.Eleonore Neufeld - forthcoming - Philosophy and Phenomenological Research.
Implicit bias.Michael Brownstein - 2017 - Stanford Encyclopedia of Philosophy.
Dual character concepts.Kevin Https://Orcidorg Reuter - 2018 - Philosophy Compass 14 (1):e12557.

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