The accreditation transition of Canadian medical schools: Possible implications for graduates applying for residency positions in the United States
Bibliographic record
Abstract
The Liaison Committee on Medical Education (LCME) has accredited Canadian medical schools for over 50 years. This agency also serves as the accrediting body for medical colleges in the United States. Thus, graduates of Canadian medical programs seeking residency training in the United States are not considered international medical graduates. Due to this fact, degree holders of Canadian medical programs who wish to pursue residency training in the United States do not require Educational Commission for Foreign Medical Graduate (ECFMG) certification to attain medical licensure. By mutual agreement with the Committee on Accreditation of Canadian Medical Schools, the LCME accreditation of Canada’s 17 medical schools will end on June 30th, 2025. Beyond this date, Canadian medical graduates seeking training within the United States will be considered international medical graduates. As a result, this will require ECFMG certification to enter postgraduate training. Possible implications of this decision could mean fewer Canadian graduates attaining competitive specialties and the social stigma of being labeled an international medical graduate.
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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 | 0.020 | 0.078 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.016 | 0.007 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.010 | 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".