Dana is trying to hire a construction team leader (a traditionally male job) for a new building development. She brings in a male candidate (M) and a female candidate (F) that vary on their on-the-ground ("streetwise") experience and educational experience. Based on research on "constructed criteria", when will each candidate be most likely to be selected for the job?

Question

BlackTom AI · Accepted Answer

The question asks about how researchers describe constructed criteria affecting selection in a traditionally male job, comparing a male candidate (M) and a female candidate (F) who differ in streetwise experience and educational experience. 
Option A: 'F when streetwise; F when educated.' This suggests the female is favored regardless of both dimensions, which contradicts the idea of constructed criteria that often privilege gendered expectations toward men in male-dominated fields and may not simultaneously favor women across both dimensions. 
Option B: 'M when streetwise; F when educated.' Here, streetwise experience benefits the male, but education benefits the female. This introduces a split pattern that does not align with the given research pattern where the constructed criteria would push toward male-favoring assessments across both attributes in this context. 
Option C: 'F when streetwise; M when educated.' This implies a mixed result where streetwise favors the female and education favors the male. Such a scenario is plausible in some debates, but the provided correct pairing in this case indicates a stronger bias toward the male candidate across both dimensions, not a mixed outcome. 
Option D: 'M when streetwise; M when educated.' This option reflects the idea that constructed criteria in a traditionally male role tend to bias toward male applicants, benefiting M both when streetwise experience is present and when the candidate is educated. It captures the overarching pattern described by the research on constructed criteria in male-dominated professions, where gendered expectations influence judgment in favor of men across multiple criteria. 
In summary, the reasoning for the options collectively highlights how biases can consistently tilt toward male candidates in both experiential and educational dimensions within gendered occupation contexts, with Option D fitting the described constructed-criteria pattern most directly.

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