Keeping More than Home Fires Burning: Prairie Women during the Second World War
Bibliographic record
Abstract
The Second World War proved to be a pivotal time for women across Canada. With men away defending the nation, it was women who were expected to not only ‘keep the home fires burning’ but also keep the nation stable. In order to do that, women had to move into roles that were traditionally reserved for men. On the prairies, women picked up the slack readily, moving into factory positions in Central Canada, taking over the family farm, and even joining the army in the Women’s Corps. For the women of Alberta, Saskatchewan, and Manitoba, this new role provided them with the chance to earn their own finances for the first time. The war also established a precedent that women could work and be good mothers at the same time. The work that prairie and Canadian women did during the war, helped normalize the idea of women in the workplace that is so prevalent in today’s society.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.057 | 0.020 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.005 | 0.013 |
| Insufficient payload (model declined to judge) | 0.005 | 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".