From Osler’s Library to the Osler Library of the History of Medicine, McGill University, Montreal: An Overview
Bibliographic record
Abstract
The Osler Library of the History of Medicine was opened in 1929 at McGill University, Montreal, Canada. Sir William Osler (1849-1919), arguably McGill's and Canada's most famous doctor at the time, had bequeathed his magnificent library of almost 8,000 historical works in medicine and, to a lesser extent, science and literature to the university. Under the 30-year reign of its first librarian, Dr. W W. Francis, the Osler Library became famous for its rare books and for its connection with Sir William. Since the 1950s, however, the library has pursued an active collection development policy for both primary and secondary material that has taken it far beyond Osler's original gift. The library has grown in both the size and scope of its holdings and the services it offers to scholars and students of the history of medicine. These have made the Osler Library a major resource centre for studies in the history of the health sciences. This article looks at the Osler Library today in the hopes of making the range of its collections and services better known to the Canadian and international communities.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.015 | 0.036 |
| Science and technology studies | 0.011 | 0.007 |
| Scholarly communication | 0.016 | 0.007 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.044 | 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".