Gender disparity within academic Canadian urology
Bibliographic record
Abstract
INTRODUCTION: Increasing female matriculation into medical school has shown an increase in women training in academic urology, but gender disparity still exists within this male-dominated field. This study aims to evaluate publication productivity and rank differences of Canadian female and male academic urologists. METHODS: was consulted to tabulate the number of documents published, citations, and h-index of each faculty member. To account for temporal bias associated with the h-index, the m-quotient was also computed. RESULTS: There was a significantly higher number of men (164, 88.17%) among academic faculty than women (22, 11.83%). As academic rank increased, the proportion of female urologists decreased. Overall, male urologists had higher academic ranks, h-index values, number of publications, and citations (p=0.038, p=0.0038, p=0.0011, and p=0.014, respectively). There was an insignificant difference between men and women with respect to their m-quotient medians (p=0.25). CONCLUSIONS: There is an increasing number of women completing residency in urology, although there are disproportionally fewer female urologists at senior academic positions. Significant differences were found in the h-index, publication count, and citation number between male and female urologists. When using the m-quotient to adjust for temporal bias, no significant differences were found between the gender in terms of academic output.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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; both teacher heads agree on what is shown here.
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".