Abstract

The gender system operates to place members of US society into categories, and then allocate labor and resources to those members on the basis of their category membership. In order to better understand the gender system, this study examines the methods by which members of US society use the gender system to place other members into a gender category, and how other social systems such as age and race affect gender categorization. Full and partial facial images were shown to participants, who were asked to identify the sex and/or gender of the individual in the image, indicate how confident they were in this identification, and then write a brief explanation for why they identified the individual in the image as they did. The results of this study point towards an “assumed male” bias in gender categorization. Results suggest that while age has little effect on gender categorization, race and gender do, with respondents being the most confident and “accurate” when viewing self-categorized white males.

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