Gender Differences in Research Productivity among Academic Psychiatrists in Canada
Bibliographic record
Abstract
Objectives: Gender inequity in academic medicine persists despite increases in the number of women physicians. We sought to explore gender differences in research productivity for academic psychiatrists in Canada. Methods: In a cross-sectional study of the 3379 psychiatrists in all 17 university departments of psychiatry in Canada, research productivity, as measured by the h-index and number of publications, was compared between women and men using a negative log binomial regression model to generate relative rates (RRs), adjusted for career duration (aRR). Findings were stratified by academic rank, institution region, and institution size. A subanalysis of those with 10 or more publications was conducted as a proxy for identifying physicians on a research track. Results: Women (43% of the sample) had a lower mean (standard deviation) h-index than men (2.87 [6.49] vs. 5.31 [11.1]; aRR, 0.62; 95% confidence interval [CI], 0.54 to 0.72). Differences were significant only for junior faculty and not for associate and full professors. Comparison by number of publications followed a similar pattern (aRR, 0.46; 95% CI, 0.39 to 0.55). Among those with 10 or more publications ( n = 721), differences between men and women were smaller than in the overall cohort for both the h-index (aRR, 0.77; 95% CI, 0.68 to 0.87) and number of publications (aRR, 0.62; 95% CI, 0.53 to 0.72). Conclusions: Gender differences in research productivity at the national level in academic psychiatry in Canada support a call to adopt a more systematic approach to promoting equitable opportunities for women in research, especially in early career, to improve diversity and enhance future psychiatric research and discovery.
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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 | 0.007 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".