2024
DOI: 10.1002/alr.23411
|View full text |Cite
|
Sign up to set email alerts
|

Gender‐based linguistic differences in letters of recommendation for rhinology fellowship over time: A dual‐institutional follow‐up study using natural language processing and deep learning

Vikram Vasan,
Christopher P. Cheng,
Shaun Edalati
et al.

Abstract: Key points This follow‐up dual‐institutional and longitudinal study further evaluated for underlying gender biases in LORs for rhinology fellowship. Explicit and implicit linguistic gender bias was found, heavily favoring male applicants

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 6 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?