J.J.R. Macleod: His Life and Works Before and After the Toronto Insulin Years
Bibliographic record
Abstract
Abstract. John James Rickard Macleod, while sometimes remembered as a co-discoverer of insulin, was moreover one of the world's most accomplished academic physiologists in the early 1900s. A medical graduate in Aberdeen, Scotland, he pursued a career in physiology, travelling to Leipzig and London. Precocious progress in research, teaching, and writing saw him being appointed a physiology professor in Cleveland, Ohio, at the age of 27. He gained an international reputation in carbohydrate metabolism, publishing a monograph on diabetes in 1913. A move to Toronto in 1918 soon saw him leading the team that produced the world's first clinically useful, life-saving insulin. Despite sharing a Nobel Prize, his involvement in the insulin story was mired in unjustified and persistent controversy. Returning to Aberdeen in 1928 as the head of physiology, his wide-ranging success continued until his death in 1935. This article details his life, work, and many achievements both before, and after, the Toronto insulin years.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.017 | 0.008 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.014 | 0.005 |
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".