Exploring Gender Diversity in Canadian Surgical Residency Leadership
Bibliographic record
Abstract
• Cis men continue to outnumber physicians of any other gender in surgical residency leadership. • Cis women hold leadership positions across surgical subspecialties and provinces. • General surgery residency programs have more cis women in leadership than expected. • Trans people are virtually absent from surgical residency leadership. • The lack of gender diversity in surgical leadership merits further study. Studies in the United States demonstrate a low proportion of cisgender women in medical leadership. No research exists about the prevalence of transgender people in medical leadership. The objective of this study was to evaluate gender representation within Canadian surgical training leadership. This study represents a survey based exploratory analysis and literature review. Associations between gender and leadership position, surgical subspecialty, years in practice and leadership role, province of work, and age were calculated using Chi squared goodness of fit and independence tests. The study was based out of the University of British Columbia in Vancouver and included all Canadian surgical training programs. Participants were identified using the Canadian Resident Matching Service and program websites. All prospective respondents (359) were emailed an encrypted survey link. The survey response rate was 65/359 responses (18%). The overall gender distribution was cis men (n = 36, 56.5%), cis women (n = 26, 40%), nonbinary (n = 1, 1.5%), agender (n = 1, 1.5%) and nonresponse (n = 1, 1.5%). Sixty-three percent of program directors were cis men, 33% were cis women and 4% were agender. Sixty-seven percent of associate program directors were cis women and 33% were cis men. Sixty-five percent of division leads were cis men, 29% were cis women, and 6% were nonbinary. There were more cis women in general surgery leadership than expected (df = 1, N = 20, x 2 = 11.05, p ≤ 0.001). No statistically significant associations between gender identity/modality, leadership role, province, or age were found using chi squared tests. Cis men continue to outnumber all others in surgical training leadership. More cis women than expected work in general surgery training leadership. However, these findings must be interpreted with caution considering the low survey response rate and the greater proportion of cis women respondents compared to cis women surgeons. There is a marked absence of binary-identified trans people in surgical training leadership in Canada, however a small number of nonbinary and agender people are present.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.007 | 0.010 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".