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      Double standards? Co-authorship and gender bias in early-stage academic evaluations

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      European Sociological Review
      Oxford University Press (OUP)

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          Abstract

          This article studies gender bias in early-stage academic evaluations in Italy and investigates whether this bias depends on various types of authorship in collaborative work across three academic fields: humanities, economics, and social sciences. We test our hypotheses via a factorial survey (vignette) experiment on a sample from the entire population of associate and full professors employed at Italian public universities in 2019. This is one of the few experiments conducted with university professors to consider hiring propensities in academia. Contrary to our general expectations, we do not find gender bias in relation to co-authorship in our general population of interest. However, the results provide some evidence that when the evaluator is a man, highly collaborative women academics in Italy receive less favourable evaluations of their qualifications compared to male colleagues with identical credentials. This gender bias is found in economics, a field where the conventions of co-authorship allow for greater uncertainty about individual contributions to a joint publication.

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          Getting a Job: Is There a Motherhood Penalty?

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            Science faculty's subtle gender biases favor male students.

            Despite efforts to recruit and retain more women, a stark gender disparity persists within academic science. Abundant research has demonstrated gender bias in many demographic groups, but has yet to experimentally investigate whether science faculty exhibit a bias against female students that could contribute to the gender disparity in academic science. In a randomized double-blind study (n = 127), science faculty from research-intensive universities rated the application materials of a student-who was randomly assigned either a male or female name-for a laboratory manager position. Faculty participants rated the male applicant as significantly more competent and hireable than the (identical) female applicant. These participants also selected a higher starting salary and offered more career mentoring to the male applicant. The gender of the faculty participants did not affect responses, such that female and male faculty were equally likely to exhibit bias against the female student. Mediation analyses indicated that the female student was less likely to be hired because she was viewed as less competent. We also assessed faculty participants' preexisting subtle bias against women using a standard instrument and found that preexisting subtle bias against women played a moderating role, such that subtle bias against women was associated with less support for the female student, but was unrelated to reactions to the male student. These results suggest that interventions addressing faculty gender bias might advance the goal of increasing the participation of women in science.
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              A model of (often mixed) stereotype content: competence and warmth respectively follow from perceived status and competition.

              Stereotype research emphasizes systematic processes over seemingly arbitrary contents, but content also may prove systematic. On the basis of stereotypes' intergroup functions, the stereotype content model hypothesizes that (a) 2 primary dimensions are competence and warmth, (b) frequent mixed clusters combine high warmth with low competence (paternalistic) or high competence with low warmth (envious), and (c) distinct emotions (pity, envy, admiration, contempt) differentiate the 4 competence-warmth combinations. Stereotypically, (d) status predicts high competence, and competition predicts low warmth. Nine varied samples rated gender, ethnicity, race, class, age, and disability out-groups. Contrary to antipathy models, 2 dimensions mattered, and many stereotypes were mixed, either pitying (low competence, high warmth subordinates) or envying (high competence, low warmth competitors). Stereotypically, status predicted competence, and competition predicted low warmth.
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                Author and article information

                Contributors
                Journal
                European Sociological Review
                Oxford University Press (OUP)
                0266-7215
                1468-2672
                April 01 2023
                April 13 2023
                October 09 2022
                April 01 2023
                April 13 2023
                October 09 2022
                : 39
                : 2
                : 194-209
                Article
                10.1093/esr/jcac045
                1d57b46d-8a44-40fc-ad91-601450d91fca
                © 2022

                https://academic.oup.com/pages/standard-publication-reuse-rights

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