Interventions to improve the well-being of medical learners in Canada: a scoping review
Bibliographic record
Abstract
2] Social, mental, and physical wellbeing have been shown to be negatively affected during undergraduate medical education, 7 with increased prevalence of burnout in residency. Poor well-being can affect medical learners across the spectrum of programs, including undergraduate health sciences. he Canadian Federation of Medical Students aims to "train healthier physicians to maximize the productivity and quality of health care services for Canadians." 11 Their strategic directions for 2020-2022 include developing health promoting communities, promoting a positive culture in medical education that prioritizes learner well-being, increasing collaboration within the medical community and optimizing student resources. Despite the growing literature as universities implement services to address the well-being of medical learners, earlier reviews on this topic have not evaluated interventions in Canadian medical schools and have found it difficult to define medical learner well-being. he Wellness Innovation Scholarship for Health Professions Education and Health Sciences (WISHES) laboratory at the University of Calgary is taking a holistic approach to medical learner well-being. 14 Based on Nussbaum's human capabilities approach 15 and acknowledging that well-being is multi dimensional, 16 WISHES focuses on measurable outcomes within the domains of mental, physical, occupational,
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".