Phenomenological study of international medical graduates and the supervisory relationship in Canada
Bibliographic record
Abstract
Objectives: This study explored the nature of the supervisory relationship between international medical graduates (IMGs) on temporary practice license and their supervisors, including perceptions of the roles and expectations of IMG supervisors in Canada. Methods: A qualitative phenomenological study comprising six focus group interviews was undertaken. A purposive sample of study participants was recruited via e-mail, and twenty-one supervisors and IMGs on temporary licensure practicing in British Columbia, Canada participated. Focus groups were recorded and transcribed verbatim, and data were analyzed using thematic analysis. Results: Key themes occurring from the focus groups included the Role of Supervisor, Supervisor Interaction, Supervisor Background, Benefits of Supervision, and Supervisor vs Mentor. The supervisor's role was perceived as necessary in supporting the IMG with adjusting, transitioning, and navigating medical practice in Canada. Access and availability of the supervisor were critical, while supervisors with IMG backgrounds were more empathetic to supervisees' needs. Having mentors, in addition to one's supervisor, was seen as valuable in helping with personal and professional adjustments to life in a new country and a novel medical system. Conclusions: Supervisors and IMGs felt the supervisory process was beneficial, but could be enhanced to support IMGs' transition better. Supervisor availability and contact were important to foster engagement throughout the supervisory relationship. Supervisor training was essential to prepare for the supervisory role, and combined supervision and mentorship programs were considered helpful for IMGs as they adjusted to their new practices and life in a new country.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.022 | 0.011 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".