The eclipse and rehabilitation of JJR Macleod, Scotland’s insulin laureate
Bibliographic record
Abstract
John JR Macleod (1876-1935,) an Aberdonian Scot who had emigrated to North America, shared the 1923 Nobel Prize with Frederick Banting for their discovery of insulin at the University of Toronto in 1921-22. Macleod finished his career as Regius Professor of Physiology at the University of Aberdeen from 1928 to 1935. Macleod's posthumous reputation was deeply tarnished by the campaigns against him carried out by his fellow laureate, Banting, and by Banting's student assistant during the insulin research, Charles Best. Banting's denigration of Macleod was based on their almost total personality conflict; Best's was based on a hunger for personal recognition. New research indicates how scarred both men were in their obsessions. The rehabilitation of Macleod's reputation, begun in 1982 with my book, The Discovery of Insulin, has continued in both scholarly and popular circles. By 2012, the ninetieth anniversary of the discovery of insulin, it had become complete both at the University of Toronto and in Canada.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.015 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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".