Undergraduate International Medical Electives: Some Ethical and Pedagogical Considerations
Bibliographic record
Abstract
The authors argue that attempts to establish more placements to meet the growing demands of undergraduate medical students in North America for international experiences may be outweighing critical reflection on the ethical issues, curricular content, and pedagogical strategies necessary to support equitable engagements with countries of the Global South. On the basis of a critical analysis of literature on international medical electives and experiences (IMEs), the article explores trends in IMEs and exposes several prominent issues, including paradoxes in underlying motivations, missing or ad hoc curricula and pedagogical approaches in IMEs, and ethical challenges that frequently arise. By engaging perspectives from critical educational theory, the authors suggest that IMEs as currently conceived are potentially ripe sites for the reproduction of colonialist ideas of North—South relationships. The authors conclude that IMEs will do little to address historically and politically rooted global health inequities unless critical consciousness is raised through improved global health curricula and appropriate pedagogical strategies.
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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 | 0.044 | 0.056 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.014 |
| Scholarly communication | 0.013 | 0.008 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.010 | 0.012 |
| Insufficient payload (model declined to judge) | 0.004 | 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".