Three Domains of Competency in Global Health Education: Recommendations for All Medical Students
Bibliographic record
Abstract
In the setting of world population growth and migration, global health issues have an increasing impact on domestic conditions and our medical practitioners. The authors ask: What exactly constitutes global health, and how much do U.S. and Canadian medical students or practitioners need to know about it? To address this topic, the authors convened an American Society for Tropical Medicine and Hygiene Committee on Medical Education, sought input from the Global Health Education Consortium, and surveyed members of the American Committee on Clinical Tropical Medicine and Travelers' Health for educational priorities within the tropical medicine field. The information gained from these sources has been distilled into three domains of global health competency that the authors propose each medical school curriculum should try to achieve for all students: global burden of disease, traveler's medicine, and immigrant health. The authors present here the rationale for altering curricula to include these three topics as a starting point for discussion among medical educators.
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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 | 0.022 | 0.050 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.005 | 0.002 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.005 | 0.009 |
| Research integrity | 0.013 | 0.012 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".