A qualitative investigation of factors contributing to the successful licensure of international medical graduates
Bibliographic record
Abstract
The substantial and longstanding contribution International Medical Graduates (IMGs) make to Canada's national physician supply has been and will continue to be of immense importance to all Canadians. At the health service level, many provinces and territories have come to rely heavily on IMGs to address their physician supply and to fill vacancies in underserviced fields of practice and underserved communities. Historically, Canada's reliance on international medical graduates has been, quantitatively, in the 20 to 30 per cent range. While a fair amount of research has addressed the role of internationally educated medical graduates in the context of supply and demand in the physician workforce, that research has been limited to the examination of credentials, competencies, demographic characteristics and distribution across specialties, practice locations, and/or geographic regions. More specifically there is no information that speaks to the experience of international medical graduates who have successfully made the transition. The aim of this dissertation is to gain an understanding of what the experience has been for international medical graduates who have successfully gained their license to practice medicine in Canada (Ontario specifically), the meaning they attribute to that experience, and the factors they view as important in successfully achieving their licensure goal. This research explored just such issues in hopes of contributing a more textured understanding of the personal and collective experience of international medical graduates in Ontario. Three main concepts emerged as keys to the successful licensure of internationally trained physicians into the Canadian landscape: financial support, social support and resilience. The analysis of the grounded framework that arises from this dissertation has definite implications for social policy development. It also lays the groundwork for bringing some fresh perspectives to the training process of international medical graduates.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".