âOf Pure European Descent and of the White Raceâ: Recruitment Policy and Aboriginal Canadians, 1939â1945
Bibliographic record
Abstract
According to the records of the Indian Affairs Branch, just over 3,000 Status Indians voluntarily enlisted in the military forces of Canada during the Second World War. Of these, 213 were killed. These and an unknown number of other non-status Indian, Métis and Inuit men served in all three military branches, and in every theatre where Canadian ground, sea and air forces fought. However, virtually nothing is known of the military service performed by Canada’s Native population. In part, this reflects of the paucity of records available on Native soldiers. Personnel files did not include any mention of ethnicity and thus it will never be known exactly how many Aboriginal men served. The figures of the Indian Affairs Branch are suspect, only partial, and do not account for Métis, Non-Status Indians, or Inuit; nor do they include those conscripted under the National Resources Mobilization Act for service in Canada. Historians have tended to focus either on the operational side of the conflict, or on the political, social and economic upheaval of the home front. The recruitment and military service of the Aboriginal population fits somewhere in between, and has been nearly forgotten.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.003 |
| Science and technology studies | 0.019 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".