Assessing the prospects for physician supply and demand in Canada: Wishing it was rocket science
Bibliographic record
Abstract
"It's not rocket science" is an often used phrase to describe tasks that are not very difficult. Although rocketry has proven to be an exacting science with highly predictable results, the same cannot be said for physician workforce planning in Canada. The "boom" in physician supply in the 1960s and 1970s was followed by a "bust" in the early 1990s and a further boom in the 2000s. A large generational shift in the physician population is anticipated between now and 2030; the proportion of "boomers" (1946-1964) will drop from 43% to 16% of the practising profession. Canada has not been alone in increasing physician supply. Any judgement as to whether too many or too few physicians are being trained must consider the drivers and mitigators of both supply and demand. Although there are current concerns about a shortage of practice opportunities for some specialties, the available data do not indicate a physician surplus on the horizon in Canada.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.007 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".