Edward Shorter,<i>Partnership for Excellence: Medicine at the University of Toronto and Academic Hospitals</i>
Bibliographic record
Abstract
Edward Shorter is well known for his robust writing style; provocative assertions and conclusions; and a penchant for undertaking sweeping studies in terms of both subject and era. Shorter has tackled the histories of the family in Europe; women’s bodies; depression; anti-anxiety drugs before Prozac; psychosomatic diseases; Western psychiatry; electroconvulsive shock therapy; and also flesh and desire, which embraced his notion of ‘total body sex’. Partnership for Excellence is a history of academic medicine at the University of Toronto (UoT). This undertaking might seem tame in comparison, but previously Shorter has published books about the history of radiology in Toronto and a former university-affiliated psychiatric hospital. Moreover, he has been a faculty member at that institution for almost 50 years, half of which as Hannah Professor of the History of Medicine. Partnership for Excellence is a big book. Indeed, the author himself asks rhetorically in the Introduction ‘Too long?’ Maybe—but any lesser (or less audacious) historian would probably be crushed under the weight of historical material that necessarily had to be collected, collated and sifted, for academic medicine at the UoT embraces one of the largest medical schools in North America, with no fewer than nine large, directly affiliated research and teaching hospitals, of which two are the biggest institutions of their kind in Canada as well as being top flight globally. (There are also another 19 community hospitals that have some form of affiliation.) To underscore the scope, breadth and depth of this project Shorter rightly emphasizes that he did not write a history of these hospitals or of the university per se; rather, he aspired to demonstrate the myriad interconnections between all these entities through their personnel, research achievements, clinical activities, and educational commitments. By correctly defining academic medicine as the sum of all these interacting components, Shorter’s book is novel.
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 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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.012 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.007 | 0.007 |
| Insufficient payload (model declined to judge) | 0.035 | 0.013 |
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".