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Record W4385514659 · doi:10.1177/01455613231190272

Understanding Gender Differences in Research Productivity of Canadian Otolaryngologists—A Comprehensive National Audit

2023· article· en· W4385514659 on OpenAlexaffabout
Eva Gajic, Emily Aleksa, Agnieszka Dzioba, Julie E. Strychowsky, Amanda Hu, Yvonne Chan, M. Elise Graham

Bibliographic record

VenueEar Nose & Throat Journal · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicDiversity and Career in Medicine
Canadian institutionsUniversity of British ColumbiaUniversity of TorontoLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsMedicineProductivityOtorhinolaryngologyDemographyAuditGender disparityScopusFamily medicineMEDLINESurgeryManagementPolitical science

Abstract

fetched live from OpenAlex

Objective: To understand the factors contributing to gender disparities in the research productivity of Canadian academic otolaryngologist-head and neck surgeons. Methods: Publicly available sources including departmental websites, SCOPUS, and the Royal College of Physicians and Surgeons of Canada were accessed between February and April 2022 to analyze gender differences in the academic productivity of otolaryngologist-head and neck surgeons across Canada. Gender differences in research productivity metrics, including h-index, i10-index, publication number, and number of first and senior authorships were assessed. Demographic data, including gender, institution, years in practice, and leadership roles were assessed for correlation with increased research productivity. Subgroup analyses were used to evaluate gender differences in productivity metrics, and univariable and multivariable regression analyses were used to evaluate predictors of research productivity. Results: Data were collected for 316 academic otolaryngologists (252 men, 64 women, P < .001). Men had significantly more years of publishing [mean (standard deviation, SD), 15.64 (9.45) vs 12.44 (8.28), P = .014], higher h-indices [12.22 (11.47) vs 7.33 (5.36), P < .001], i10-indices [22.61 (37.88) vs 8.17 (9.14), P > .001], publication numbers [46.63 (65.18) vs 19.59 (23.40), P < .001], and first [8.18 (9.95) vs 4.89 (6.18), P = .001] and senior authorships [12.98 (22.72) vs 3.83 (6.89), P < .001]. Gender differences were most pronounced in head and neck oncology, pediatrics, and the late career stage. Gender disparities in productivity were absent in the early career stage. Multivariate analysis identified only the number publications and number of senior author publications as being significantly influenced by gender. Conclusion: Canadian female otolaryngologist-head and neck surgeons appear to have equivalent research productivity to their male counterparts in the early career stage. This mirrors the recent findings in the United States, and demonstrates progress compared to earlier studies that found women to have lower research productivity in the early career stage.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.121
Threshold uncertainty score0.950

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.714
GPT teacher head0.441
Teacher spread0.273 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations8
Published2023
Admission routes2
Has abstractyes

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