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; Shreya Mandloi; David K. Lerner; Anthony Del Signore; Madeleine Schaberg; Satish Govindaraj; Mindy Rabinowitz; Gurston Nyquist; Alfred Marc Iloreta

doi:10.1002/alr.23411

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
, Shreya Mandloi
, David K. Lerner
, Anthony Del Signore
, Madeleine Schaberg
, Satish Govindaraj
, Mindy Rabinowitz
, Gurston Nyquist
, Alfred Marc Iloreta

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

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.

Original language	English
Pages (from-to)	1814-1817
Number of pages	4
Journal	International Forum of Allergy and Rhinology
Volume	14
Issue number	11
DOIs	https://doi.org/10.1002/alr.23411
State	Published - Nov 2024

Keywords

application process
gender disparity
international medical graduate
letters of recommendation
personal statements
rhinology fellowship match

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10.1002/alr.23411

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Vasan, V., Cheng, C. P., Edalati, S., Mandloi, S., Lerner, D. K., Del Signore, A., Schaberg, M., Govindaraj, S., Rabinowitz, M., Nyquist, G., & Iloreta, A. M. (2024). 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. International Forum of Allergy and Rhinology, 14(11), 1814-1817. https://doi.org/10.1002/alr.23411

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title = "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",

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.",

keywords = "application process, gender disparity, international medical graduate, letters of recommendation, personal statements, rhinology fellowship match",

author = "Vikram Vasan and Cheng, \{Christopher P.\} and Shaun Edalati and Shreya Mandloi and Lerner, \{David K.\} and \{Del Signore\}, Anthony and Madeleine Schaberg and Satish Govindaraj and Mindy Rabinowitz and Gurston Nyquist and Iloreta, \{Alfred Marc\}",

note = "Publisher Copyright: {\textcopyright} 2024 ARS-AAOA, LLC.",

year = "2024",

month = nov,

doi = "10.1002/alr.23411",

language = "English",

volume = "14",

pages = "1814--1817",

journal = "International Forum of Allergy and Rhinology",

issn = "2042-6976",

publisher = "John Wiley and Sons Inc.",

number = "11",

}

Vasan, V, Cheng, CP, Edalati, S, Mandloi, S, Lerner, DK, Del Signore, A, Schaberg, M , Govindaraj, S, Rabinowitz, M, Nyquist, G & Iloreta, AM 2024, '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', International Forum of Allergy and Rhinology, vol. 14, no. 11, pp. 1814-1817. https://doi.org/10.1002/alr.23411

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. / Vasan, Vikram; Cheng, Christopher P.; Edalati, Shaun et al.
In: International Forum of Allergy and Rhinology, Vol. 14, No. 11, 11.2024, p. 1814-1817.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - Gender-based linguistic differences in letters of recommendation for rhinology fellowship over time

T2 - A dual-institutional follow-up study using natural language processing and deep learning

AU - Vasan, Vikram

AU - Cheng, Christopher P.

AU - Edalati, Shaun

AU - Mandloi, Shreya

AU - Lerner, David K.

AU - Del Signore, Anthony

AU - Schaberg, Madeleine

AU - Govindaraj, Satish

AU - Rabinowitz, Mindy

AU - Nyquist, Gurston

AU - Iloreta, Alfred Marc

PY - 2024/11

Y1 - 2024/11

N2 - 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.

AB - 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.

KW - application process

KW - gender disparity

KW - international medical graduate

KW - letters of recommendation

KW - personal statements

KW - rhinology fellowship match

UR - https://www.scopus.com/pages/publications/85198642679

U2 - 10.1002/alr.23411

DO - 10.1002/alr.23411

M3 - Article

AN - SCOPUS:85198642679

SN - 2042-6976

VL - 14

SP - 1814

EP - 1817

JO - International Forum of Allergy and Rhinology

JF - International Forum of Allergy and Rhinology

IS - 11

ER -

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

Abstract

Keywords

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