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Article overview
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Assessing Group-level Gender Bias in Professional Evaluations: The Case of Medical Student End-of-Shift Feedback | | Emmy Liu
; Michael Henry Tessler
; Nicole Dubosh
; Katherine Mosher Hiller
; Roger Levy
; | | Date: |
1 Jun 2022 | | Abstract: | Although approximately 50% of medical school graduates today are women,
female physicians tend to be underrepresented in senior positions, make less
money than their male counterparts and receive fewer promotions. There is a
growing body of literature demonstrating gender bias in various forms of
evaluation in medicine, but this work was mainly conducted by looking for
specific words using fixed dictionaries such as LIWC and focused on
recommendation letters. We use a dataset of written and quantitative
assessments of medical student performance on individual shifts of work,
collected across multiple institutions, to investigate the extent to which
gender bias exists in a day-to-day context for medical students. We investigate
differences in the narrative comments given to male and female students by both
male or female faculty assessors, using a fine-tuned BERT model. This allows us
to examine whether groups are written about in systematically different ways,
without relying on hand-crafted wordlists or topic models. We compare these
results to results from the traditional LIWC method and find that, although we
find no evidence of group-level gender bias in this dataset, terms related to
family and children are used more in feedback given to women. | | Source: | arXiv, 2206.00234 | | Services: | Forum | Review | PDF | Favorites | |
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