Severe acute respiratory syndrome and the delivery of continuing medical education: Case study from Toronto
Bibliographic record
Abstract
INTRODUCTION: Severe acute respiratory syndrome (SARS) struck Toronto in the spring of 2003, causing many deaths, serious morbidity, forced quarantine of thousands of individuals, and the closure of all provincial hospitals for several weeks. Given the direction by public health authorities to cancel or postpone all continuing medical education (CME) courses, including those sponsored by the University of Toronto Faculty of Medicine, SARS has had a profound effect on the delivery of CME in Toronto and beyond. METHOD: Case study design using existing documents and self-report. RESULTS: The immediate, specific response of the University of Toronto CME program to SARS is described for the period from March 2003 to September 2003. DISCUSSION: During major outbreaks of infectious disease, continuing education providers should maintain regular contact with public health authorities and learners, enact a rational process for postponing or canceling courses, and implement a disaster plan flexible enough to ensure the deliver, of education using technological advances.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| 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 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".