Understanding Gender Differences in Research Productivity of Canadian Otolaryngologists—A Comprehensive National Audit
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".