“German Methods,” “Unconditional Gifts,” and the Full-Time System: The Case Study of the University of Toronto, 1919-23
Bibliographic record
Abstract
At the end of 1919, The University of Toronto got word that the Rockefeller Foundation was looking to give the university a gift of one million dollars (US) to "aid medical education.". This was in addition to a gift of $500,000 (Canadian) from merchant millionaires Sir John Craig and Lady Eaton. The implementation of the full-time system of clinical instruction made possible by these large gifts touched off a fiery debate among the medical profession and prompted a provincial government inquiry that would have thwarted long-awaited innovations in medical teaching and threatened the autonomy of the entire university. Much has been written about the full-time system of clinical medical education, most of it dealing with the United States. Some have documented cases where donor dollars were scorned in aiding the shift to full-time clinical teaching. Less well known is the tale of the University of Toronto. "The Provincial University" is an unique case study of a public university that tried to satisfy donor conditions even as it served its constituency- the people of Ontario. The challenge of implementing a new medical pedagogy between 1919 and 1923 was that Toronto lay at the centre of three poles: private versus public funding; "research" or laboratory medicine versus "experience" or "practical" medicine; and those who wanted to try the full-time system versus the established "old guard."
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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.067 | 0.030 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".