Orientation of International Medical Graduates to Canadian Medical Practice
Bibliographic record
Abstract
The College of Physicians and Surgeons of Saskatchewan tracked a cohort of 39 international medical graduates (IMGs) in rural Saskatchewan and discovered that 51% left the province within five years (personal communication). A study by Basky, Mathew, Edwards, and Rourke (2007) Basky, G., Mathew, M., Edwards, A. C. and Rourke, J. T. B. 2007. Do they stay or do they go? Retention of provisionally licensed international graduates in Newfoundland and Labrador, Newfoundland: Memorial University of Newfoundland, Division of Community Health and Humanities. St. John's [Google Scholar] found that half a cohort of IMGs in rural Newfoundland and Labrador left the province after 22 months. Literature suggests that a timely and welcoming orientation may reduce physician turnover (Thommasen, Berkowitz, & Gryzbowski, 2000 Thommasen, H. V., Berkowitz, J. and Grzybowski, S. 2000. Community factors associated with long-term physician retention. BC Medical Journal, 42(9): 426–429. [Google Scholar]; Skinner, 2004 Skinner, T. 2004. Medical Staff Retention. ASPR Newsletter Winter, 11(4): 18–21. [Google Scholar]; Healthcare Facility Resource Center, 2007; Wendling-Aloi, 2003 Wendling-Aloi, S. 2003. The link between physician retention and orientation. MGMA Connexion, 3(1): 28–29. [PubMed] , [Google Scholar]). The Division of Continuing Professional Learning, College of Medicine, University of Saskatchewan created an International Medical Graduate Program for physicians settling in Saskatchewan, consisting of a DVD, an orientation guide, and a two-day conference. Evaluation results showed that 75% of the respondents thought that the DVD should be given to future IMGs, 90% stated that the Guide should be given to future IMGs, and 96% indicated that the conference had greatly added to the knowledge they had gained from the DVD and Guide.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 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".