“The Exigencies of the Military Situation Must be the Primary Consideration”: the Department of Indian Affairs, Communication Control, and Indigenous Families in the First World War
Bibliographic record
Abstract
During the First World War Indigenous peoples in Canada contributed to the war effort through enlistment in the Canadian Expeditionary Force (CEF), the Patriotic Fund, and agricultural and industrial production. Their contributions, however, were not universally accepted in Indigenous communities. For many aging, non-military eligible, individuals, enlistment and off-reserve work deprived families of care-givers, bread-winners, and youth, essential to household and community well-being. Their petitions to the Canadian government, filtered through the Department of Indian Affairs (DIA), reveal the breadth of opinion and sources of frustration from across Indigenous communities in Canada.For the DIA, however, the years from 1914-1918 provided a crucial opportunity to solidify its power over Indigenous communities. Through a three-pillared archetype of communication control, the DIA increased its unilateral dominion over Indigenous affairs, largely at the expense of the eldest members of Indigenous communities, remaining traditional governance structures, and especially women. While the DIA rightly lauded Indigenous contributions to Canada’s war effort in post-war declarations, it conveniently ignored the costs associated with such contributions, thus denying a crucial aspect of Indigenous First World War history; an omission historians have too often indulged.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.050 | 0.039 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".