Characteristics of international medical graduates who applied to the CaRMS 2002 match.
Bibliographic record
Abstract
BACKGROUND: International medical graduates are an important component of the Canadian physician workforce. For most international medical graduates, the principal route to obtaining a residency position in Canada is to apply through the second iteration of the Canadian Resident Matching Service (CaRMS) match. In order to help inform the work toward integrating unlicensed international medical graduates into Canada's health professional workforce, our objectives were to describe the demographic and educational characteristics of international medical graduate CaRMS applicants and identify their preferred clinical disciplines and practice locations. METHODS: A 37-item Web-based questionnaire survey was offered to all 659 international medical graduate second-iteration CaRMS 2002 applicants. We collected data on their demographic and educational background and preferred clinical discipline and practice location. Up to 2 follow-up email reminders were sent to nonrespondents. RESULTS: The survey response rate was 70.3% (463/659). Of the respondents, 71.9% had obtained their medical degree in Asia, the Middle East or Eastern Europe: 36.5% had graduated with a medical degree since 1994, and 17.3% since 1997. Most respondents (74.3%) were aged between 30 and 44 years. More than half (54.6%) had completed their medical education in English. Most (69.3%) had done postgraduate training outside Canada. Before coming to Canada, 42.8% had practised medicine for 1-5 years and 45.6% had practised for 6-20 years. The top 5 choices of clinical discipline in Canada were family medicine/general practice (45.6%), internal medicine (14.9%), surgery (7.3%), obstetrics/gynecology (6.7%) and pediatrics (4.8%). Of those who resided in the 4 Western provinces or Nova Scotia, between 76.8% and 86.7% preferred to stay in their own province, and 60%, 51.4% and 37% of those who resided in Newfoundland, Ontario or Quebec respectively preferred to practise in their own province. INTERPRETATION: Second-iteration international medical graduate CaRMS applicants are a heterogeneous group of physicians, some with substantial medical training and experience and others at an earlier stage of their medical career.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".