[IMPRESSIONS OF SABBATICAL TIME AT THE MEDICAL EDUCATION DEPARTMENT AT THE HOSPITAL FOR SICK CHILDREN, TORONTO, CANADA].
Bibliographic record
Abstract
INTRODUCTION: The vision of the Department of Pediatrics at the University of Toronto and The Hospital for Sick Children in Toronto, Canada, defines medical education as highly important and the strategic plans and policies of the hospital management for training residents in pediatrics have been adjusted accordingly. A section of Medical Education has been established, which is headed by a physician who is appointed as a Vice-Chair of the department. In this department there are several staff members including physicians and trained administrative staff who are all devoted to the medical education affairs. In each clinical division, there is a program director position dedicated to medical education. Furthermore, every resident is guided by a (faculty) senior mentor throughout the entire residency. In addition, a specific residency program committee plans the curriculum and all residents are routinely assessed, and provided with feedback on a regular basis. All staff physician teachers are provided with faculty development training in education and receive feedback regularly and excellence in teaching is considered a major factor in academic promotion. Ethical issues, equity, diversity and inclusion, as well as professionalism in interactions with residents are receiving special attention. The pediatric residency consists of 13 rounds of 4 weeks each in the second year of residency, which includes all subspecialties in pediatrics. The optimal way of considering the residency or fellowship is "working while learning". This contrasts with "learning while working" in other places which lack the resources to support such an impressive medical education program.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.224 | 0.038 |
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".