Whether or wither some specialties: a survey of Canadian medical student career interest
Bibliographic record
Abstract
BACKGROUND: Given the looming shortage of physicians in Canada, we wished to determine how closely the career preference of students entering Canadian medical schools was aligned with the current physician mix in Canada. METHODS: Career choice information was collected from a survey of 2,896 Canadian medical students upon their entry to medical school. The distribution of career choices of survey respondents was compared to the current physician specialty mix in Canada. RESULTS: We show that there is a clear mismatch between student career choice at medical school entry and the current specialty mix of physicians in Canada. This mismatch is greatest in Urban Family Medicine with far fewer students interested in this career at medical school entry compared to the current proportion of practicing physicians. There are also fewer students interested in Psychiatry than the current proportion of practicing physicians. CONCLUSION: This mismatch between the student interest and the current proportion of practicing physicians in the various specialties in Canada is particularly disturbing in the face of the current sub-optimal distribution of physicians. If nothing is done to correct this mismatch of student interest in certain specialties, shortages and misdistributions of physicians will be further amplified. Studies such as this can give a window into the future health human resources challenges for a nation.
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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 | 0.012 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.026 | 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".