International medical graduates as untapped resource for community health and wellness
Bibliographic record
Abstract
Objectives: This study examines the potential of International Medical Graduates (IMG) in contributing to the health and wellness of a community, particularly through transdisciplinary knowledge engagement or mobilization in diverse settings. We aimed to gather IMGs' perspectives on potential non-physician roles to enhance community health and wellness using a qualitative descriptive approach. Methods: Eight focus groups were conducted among IMGs in Canada between June and August 2020 (n = 42), followed by a thematic analysis of the verbatim transcripts. Two independent reviewers carried out inductive coding of the data. Emergent themes and sub-themes were identified. Through an iterative process incorporating insights from community partners, themes were refined to capture the lived experiences of IMGs in this context. Results: We sought to engage this population in discussions to capture their perspectives on contributions to health and wellness. Participants suggested various alternative contribution pathways such as knowledge mobilization, research generation, and supportive community roles. They also identified individual and systemic challenges. Finally, strategies for change were proposed on personal, professional, and organizational levels. Conclusion: The IMGs put forward various ideas and insights regarding their potential contributions to community health and wellness. They can be valuable assets in promoting health and improving health literacy. It is important to recognize that IMGs are eager to take on significant roles in the community and that they are currently an underused resource for enhancing community health and wellness.
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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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".