International medical graduates: Learning for practice in Alberta, Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
INTRODUCTION: There is little known about the learning that is undertaken by physicians who graduate from a World Health Organization-listed medical school outside Canada and who migrate to Canada to practice. What do physicians learn and what resources do they access in adapting to practice in Alberta, a province of Canada? METHODS: Telephone interviews with a theoretical sample of 19 IMG physicians were analyzed using a grounded theory constant comparative approach to develop categories, central themes, and a descriptive model. RESULTS: The physicians described two types of learning: learning associated with studying for Canadian examinations required to remain and practice in the province and learning that was required to succeed at clinical work in a new setting. This second type of learning included regulations and systems, patient expectations, new disease profiles, new medications, new diagnostic procedures, and managing the referral process. The physicians "settled" into their new setting with the help of colleagues; the Internet, personal digital assistants (PDAs), and computers; reading; and continuing medical education programs. Patients both stimulated learning and were a resource for learning. DISCUSSION: Settling into Alberta, Canada, physicians accommodated and adjusted to their settings with learning activities related to the clinical problems and situations that presented themselves. Collegial support in host communities appeared to be a critical dimension in how well physicians adjusted. The results suggest that mentoring programs may be a way of facilitating settlement.
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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 | 0.017 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it