Lessons learned from a student-driven initiative to design and implement an Organ and Tissue Donation course across Canadian medical schools
Bibliographic record
Abstract
The competencies required of the well-trained physician are constantly evolving, and medical education must adapt accordingly. In response, a growing number of influential medical education licensing and accreditation bodies have proposed frameworks that outline society's expectations of physician competencies. In Canada, undergraduate and graduate curricula have undergone major changes to meet the specifications of the CanMEDS framework, and similar efforts are underway internationally. Nonetheless, ensuring the values enshrined within such frameworks become integral to a physician's identity remains challenging. We believe that student-led curricular initiatives represent a novel way of approaching this shifting medical education landscape.In this article, we reflect on lessons we learned as medical students spearheading an initiative to change how organ and tissue donation is taught in Canadian medical schools. Citing relevant medical education literature where applicable, we include a detailed description of our approach as a roadmap for students contemplating their own curricular innovations. By outlining the factors influencing this project's implementation, as well as the benefits and limitations of student participation in curriculum reform, we offer educators a fresh perspective on optimizing the student role in this important process. Ultimately, the authors argue that not only can student participation render curricular content more accessible to learners, but that the responsibilities students take on in this role naturally lead to the development of CanMEDs-based competencies such as advocacy, scholarship, and inter-professionalism.
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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 | 0.003 | 0.060 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.004 | 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".