Constructing History in Biography: A Symposium on William Osler: A Life in Medicine : Introduction
Bibliographic record
Abstract
William Osler's medical career spanned two centuries and three nations: Canada, the United States, and Great Britain. Though not an especially noted scientist, he was an innovative teacher, a professional organizer, and mentor and colleague to many grateful--indeed, sometimes adoring--students and colleagues, some of whom became influential in the Anglo-Saxon medical world. Since his death, Osler has been the subject of an enormous body of literature, fed by numerous Osler societies throughout the world. Among these is the American Osler Society, upon whose recent review panel this symposium is based. In it, three Oslerians--Philip Teigen, Earl Nation, and Joseph Lella--use Michael Bliss's book as the starting point for reading historical themes in Osler's life from their own standpoints. Bliss responds to these views by stressing the factual underpinnings of his book and by interpreting it, the first major biography of Osler since Cushing, in the context of his other works in the history of medicine as another study of the emergence of "health care as a secular replacement for traditional religious faith in the supernatural."
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.009 | 0.014 |
| Scholarly communication | 0.011 | 0.010 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".