Two Wings and a Prayer: Should Canada Make It Easier for Canadian Doctors Trained Abroad to Enter Practice Here?
Bibliographic record
Abstract
About 3,600 Canadians are currently studying medicine abroad (CSMAs). Most hope to return to practise in Canada. But the road back is not easy. These graduates must complete postgraduate residency training in Canada and alas, there are less openings than there are aspirants. One might have thought, amid the endless rhetoric of "physician shortages," that an obvious solution would be to increase the number of residency positions. But provincial governments are well aware, even if the media are not, that Canada is in the early stages of a dramatic expansion in physician supply fuelled by increased domestic training capacity. Last time the physician supply outpaced population growth, as it is doing today, governments choked off the entry of international graduates. It could happen again.
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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 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.019 | 0.014 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.011 | 0.018 |
| Insufficient payload (model declined to judge) | 0.015 | 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; 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".