Comparison of Canadian Medical Graduates and International Medical Graduates in Canada: 1989–2007
Bibliographic record
Abstract
PURPOSE: To compare Canadian medical graduates (CMGs) and international medical graduates (IMGs) who completed postgraduate medical education in Canada from 1989 to 2007 by age, gender, specialty, and practice characteristics. METHOD: Data on all CMGs and IMGs who completed residencies or fellowships in Canada from 1989 to 2007 were extracted from the Canadian Post-M.D. Education Registry. Data from 1989-1993 and 2003-2007 were pooled for analysis. RESULTS: A total of 8,501 CMGs and 1,828 IMGs completed post-MD training at Canadian institutions between 1989 and 1993 inclusive; 7,734 CMGs and 1,879 IMGs completed such training between 2003 and 2007. From 1989-1993 to 2003-2007, the average age of CMGs increased from 29.8 to 31.1 years, and average age of IMGs increased from 36.1 to 37.0 years. From 1989-1993 to 2003-2007, the percentage of women increased from 41% (3,471/8,501) to 52% (4,016/7,734) and from 28% (509/1,828) to 42% (791/1,879) for CMGs and IMGs, respectively. The proportion of CMGs who trained in family medicine declined from 54% (4,568/8,501) to 38% (2,921/7,734) from 1989-1993 to 2003-2007. The percentage of IMGs who trained in family medicine increased from 19% (344/1,828) to 37% (699/1,879) during the same period. CONCLUSIONS: IMGs tended to be older, more likely to be men, and more likely to pursue family medicine than their CMG counterparts. These differences have implications in designing future health care policy and recruiting physicians from abroad. Other countries could look at their own physician demographics using this study's methods.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 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".