"Bravely and Loyally They Answered the Call": St. John Ambulance, the Red Cross, and the Patriotic Service of Canadian Women During the Great War 1
Bibliographic record
Abstract
During the Great War (1914-1918), thousands of middle-class Canadian women temporarily redirected their activist, feminist energies towards patriotic war relief under the patriarchal constraints of the Canadian Red Cross and St. John Ambulance. Authorized under the authority of the National Relief Committee to oversee all military medical relief efforts, these two male-directed service agencies successfully engaged the emotional commitment and physical energies of a significant segment of Canadian women by employing a gendered patriotic rhetoric encompassing both the maternal ideology of the early women’s movement and the militarist spirit of the era. This paper considers the largely unheralded role of civilian women’s essential unpaid support for Canada’s war effort as an active, emotional, and political undertaking, consciously exploiting traditional nurturant and feminine ideologies to validate their role as maternal patriots. In examining both the print and visual representations of Canadian women as voluntary nurses and Red Cross workers, the paper explores the contradictions between patriotism, feminism, and maternalism. Challenging traditional interpretations of war as a solely masculine endeavour, it recognizes the value of women’s unpaid labour to the state, and women’s inherent satisfaction in their active, if non-combatant involvement.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.055 | 0.032 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".