Decline in Popularity of General Surgery as a Career Choice in North America: Review of Postgraduate Residency Training Selection in Canada, 1996–2001
Bibliographic record
Abstract
There has been a perception that fewer medical students are currently pursuing careers in general surgery. To investigate the validity of this premise we reviewed the Canadian Residency Matching Service (CaRMS) database from 1996 to 2001 and identified recent trends in graduates' selections. Three surgical specialties--general surgery, orthopedic surgery, obstetrics and gynecology--were chosen for analysis as "poor lifestyle" specialties. They were compared to anesthesia, diagnostic radiology, and ophthalmology, which were chosen as representative "good lifestyle" specialties. Linear regression and chi-square analyses were performed to identify significant changes in applications to each specialty. A negative trend in first-choice applications to all three "poor lifestyle" specialties was observed, whereas all three "good lifestyle" specialties experienced increased first-choice applicants. Potential factors influencing medical student residency selection are discussed, emphasizing the reduced number of first-choice applicants to general surgery.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.014 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".