Global Health in Ottawa: An Interview with Dr. Anne McCarthy, Lead for Undergraduate Medical Education in Global Health
Bibliographic record
Abstract
Dr. Annie McCarthy, MD, is Professor of Medicine at the University of Ottawa and a member of the Division of Infectious Diseases at the Ottawa Hospital. She is the Lead for Undergraduate Medical Education Global Health and previous Director of the Office of Global Health for the Faculty of Medicine, University of Ottawa. In addition, she is the Director of the Tropical Medicine and International Health Clinic at the Ottawa Hospital. She is in charge of tropical medicine teaching at an UGME and PGME level. For more than two decades, she has been involved with travel medicine on a clinical, research and policy level. She has been committed to preparing particularly medical trainees for safe and ethical electives in resource poor settings. Her clinical work includes many new Canadians, including many refugees. She has a large educational commitment, including undergraduate, postgraduate medical and continuing education teaching in infectious disease, travel medicine, tropical medicine and global health.
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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 | 0.009 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.033 | 0.012 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.011 | 0.029 |
| Insufficient payload (model declined to judge) | 0.005 | 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".