Morton E Hall: Conservator of the Canadian War Museum in London, England during the Great War and Alberta’s Second Pathologist
Bibliographic record
Abstract
Morton Eldred Hall (1887-1975), a little known pioneer pathologist in Western Canada who had trained at Belleview Hospital in New York City, arrived at the newly forming medical school at the University of Alberta in Edmonton in 1914. Shortly after this, First World War broke out and Hall enlisted. He was eventually posted at the Royal College of Surgeons in London where he assisted Sir Arthur Keith, the conservator of the Hunterian Museum and the Army Medical Collection, pathological specimens derived from fallen Dominion soldiers which were to be preserved as teaching specimens to help train military surgeons. Keith and Morton published important papers documenting the types of wounds generated by modern warfare. These papers are all that remain of the British War Collection as the museum was bombed by the Germans during Second World War. Specimens derived from Canadian casualties had been repatriated to Canada. Hall briefly served as the conservator for the Canadian Medical War Museum, the name given to Canadian specimens. After safely getting these precious war relics home in 1919, Hall returned to Edmonton where he was head of pathology at the Royal Alexandra Hospital, associate professor of pathology, and developed unique insights into university politics.
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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 | 0.003 | 0.003 |
| Science and technology studies | 0.015 | 0.011 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.035 | 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".