No. 3 Canadian General Hospital (McGill) in the Great War: service and sacrifice
Bibliographic record
Abstract
SUMMARY: During the Great War, McGill University fielded a full general hospital to care for the wounded and sick among the Allied forces fighting in France and Belgium. The unit was designated No. 3 Canadian General Hospital (McGill) and included some of the best medical minds in Canada. Because the unit had a relationship with Sir William Osler, who was a professor at McGill from 1874 to 1885, the unit received special attention throughout the war, and legendary Canadian medical figures, such as John McCrae, Edward Archibald and Francis Scrimger, VC, served on its staff. The unit cared for thousands of victims of the war, and its trauma care advanced through the clinical innovation and research demanded by the nature of its work. Although No. 3 Canadian General Hospital suffered tragedies as well, such as the deaths of John McCrae and Osler's only son Revere, by the war's end the McGill hospital was known as one of the best medical units within the armies in France.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.077 | 0.008 |
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".