Ontology highlight
ABSTRACT: Background
In varied educational settings, narrative evaluations have revealed systematic and deleterious differences in language describing women and those underrepresented in their fields. In medicine, limited qualitative studies show differences in narrative language by gender and under-represented minority (URM) status.Objective
To identify and enumerate text descriptors in a database of medical student evaluations using natural language processing, and identify differences by gender and URM status in descriptions.Design
An observational study of core clerkship evaluations of third-year medical students, including data on student gender, URM status, clerkship grade, and specialty.Participants
A total of 87,922 clerkship evaluations from core clinical rot
SUBMITTER: Rojek AE
PROVIDER: S-EPMC6502922 | biostudies-literature | 2019 May
REPOSITORIES: biostudies-literature