Edward Shorter, Partnership For Excellence: Medicine at the University of Toronto and Academic Hospitals
Bibliographic record
Abstract
Shorter this book is not.Edward Shorter has written over twenty books on topics within the history of medicine, and this one may well be the longest yet.It explores the history of medical education at the University of Toronto over the course of the twentieth century as the university moved from a provincial school catering to rural Ontario farm boys to an "international powerhouse" (inside cover) attracting students and faculty from all over the world.By the end of its 750 pages of text, divided into 30 chapters, readers are left with a dizzying array of details supporting Shorter's overall contention that the University of Toronto, with its medical school and its affiliated hospitals, is an internationally recognized leader in teaching and research, and among the top North American schools of medicine.Moreover, its success is both because and in spite of the collected assortment of hospitals, departments, and personalities that have all been harnessed together under strong leadership.Writing this history is no easy task, but Shorter has done it with characteristic flare for colourful anecdotes and a writing style that breathes humour and wit into an otherwise daunting array of administrative memos, program reviews, and strategic planning documents.The title is an appropriate moniker for what is in essence a study of partnerships.The main partnership concerns the university and the hospitals -nine in total, including Toronto Sick Children's Hospital, Toronto General Hospital, Sunnybrook Health Sciences Centre, Princess Margaret's Hospital, St Michael's Hospital, and the Centre(s) for Addiction and Mental Health.Nowhere else in Canada is there such a rich geographical concentration, even as one travels north as far as the Sunnybrook campus, stretching the collaboration beyond reasonable walking distance.Proximity is an important feature of this partnership, but as Shorter demonstrates, it has been
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.023 | 0.006 |
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".