Bibliographic record
Abstract
This paper examines the lives of sixty-one Canadian Nursing Sisters who served during the First World War, and whose deaths were attributed, more or less equally, to three categories: general illness, Spanish Influenza, and killed in action. The response by Canadian Army Medical Corps (CAMC) physicians to the loss of these early female officers who were, in fact, Canada's first female war casualties, suggests a gendered construction of illness at work in the CAMC. While nurses tried to prove themselves good soldiers, military physicians were quick to attribute their illnesses and deaths to horrific war conditions deemed unsuitable for women. This gendered response is particularly evident in how CAMC physicians invoked a causal role for neurasthenia or shell shock for the nurses' poor health. The health profile of these women also suggests that some of these deaths might have occurred had these women stayed in Canada, and it encourages future comparative research into death rates among physicians and orderlies.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".