Addressing the health advocate role in medical education
Bibliographic record
Abstract
The health advocate role is an essential and underappreciated component of the CanMEDs competency framework. It is tied to the concept of social accountability and its application to medical schools for preparing future physicians who will work to ensure an equitable healthcare system. Student involvement in health advocacy throughout medical school can inspire a long-term commitment to address health disparities. The Social Medicine Network (SMN) provides an online platform for medical trainees to seek opportunities to address health disparities, with the goal of bridging the gap between the social determinants of health and clinical medicine. This online platform provides a list of health advocacy related opportunities for addressing issues that impede health equity, whether through research, community engagement, or clinical care.First implemented at the University of British Columbia, the SMN has since expanded to other medical schools across Canada. At the University of Ottawa, the SMN is being used to augment didactic teachings of health advocacy and social accountability. This article reports on the development and application of the SMN as a resource for medical trainees seeking meaningful and actionable opportunities to enact their role as health advocates.
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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 | 0.059 | 0.064 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.018 | 0.016 |
| Scholarly communication | 0.015 | 0.014 |
| Open science | 0.002 | 0.040 |
| Research integrity | 0.011 | 0.018 |
| Insufficient payload (model declined to judge) | 0.014 | 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".