Food Will Win the War: The Politics, Culture, and Science of Food on Canada’s Home Front
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
When most of us think of Canadian history, particularly Canada’s involvement in the Second World War, it is unlikely that food is what first comes to mind. However, Ian Mosby’s new—and first—book, Food Will Win the War: The Politics, Culture, and Science of Food on Canada’s Home Front, invites readers to consider the primacy of food in the war effort in Canada. Mosby’s detailed and thoroughly researched account explores food as a material and symbolic resource that was instrumental in marshalling Canadians’ support for the war. Mosby also shows how the social, political, and economic changes related to food shaped the everyday lives of Canadians—particularly Canadian women—throughout the Second World War. Food Will Win the War is an important volume that fills a significant gap in the small, but growing, literature on Canada’s food history.
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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it