Canadian Gastroenterology Career Pathway Experiences: Exploring the Gender Divide
Bibliographic record
Abstract
Abstract Background We aimed to determine the persistence of differential career experiences between male and female gastroenterologists in Canada >20 years after they were first noted in the literature. Methods A 51-question mixed-methods survey was developed focusing on personal, professional and financial characteristics. The survey was disseminated via email and fax to practicing gastroenterologists using provincial college registries and the Canadian Association of Gastroenterology. Numerical data were analyzed using the chi-square test. Qualitative thematic analysis was conducted for short answer responses. Findings There were a total of 114 responses (17% response rate) with 35% female respondents. Mean age was 49 years for males and 41 years for females (P = 0.001). Clinical practice types included general GI (63%), urban (82%) and academic (51%). Males reported more endoscopy time (P = 0.001) versus females who spent more time on research (P < 0.001). Men were more likely to be married (P = 0.011), but women were more likely to be responsible for childcare (P = 0.016). Women were more likely to choose between marriage and career and more chose marriage compared to men (P = 0.045). Males earned >$100,000/year higher income than females even when offset by age and work hours (P = 0.048). A salary >$600,000 was reported by 32% of men, compared to 3% of women. Female gastroenterologists reported less mentorship during GI training, challenging relationships with support staff, reduced promotion opportunity, more difficulty publishing and having their competency challenged. Interpretation Compared to previous data, there has not been significant gender-related progress in the past two decades regarding female gastroenterologists’ clinical practices, remuneration and work-life balance.
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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 | 0.004 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.014 | 0.004 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".