Bibliographic record
Abstract
Illustrations 1.1 "What are They to Me?" article criticizing selfish, unpatriotic shopping 26 2.1 "Vision Your Sons, Mothers of Canada!" food service pledge advertisement 49 2.2 Poster advertising Canada Food Board recipe books 61 2.3 "An Army of Savers," illustration of a conservationist army 65 2.4 "Buy Fresh Fish," Canada Food Board poster 68 2.5 "Waste Not -Want Not," Canada Food Board poster 69 2.6 "Remember We Must Feed Daddy Too," Canada Food Board poster 71 3.1 Photograph of Antoinette Gérin-Lajoie and Madame Lacroix at a table decorated with Dupuis Frères products 86 4.1 "Product of Nova Scotia" label advertisement 113 4.2 Photograph of Mrs. J. MacGregor Smith presenting a basket of Alberta-made goods to Edmonton mayor D.K. Knott 115 5.1 Photograph of a bathing suit designed by Florine Phaneuf 139 6.1 Photograph of a young participant in a Co-operative Day Parade, Sydney Mines, Nova Scotia 155 6.2 Illustration of on overwhelmed consumer in need of guidance 159 6.3 Photograph of shoppers and their children waiting in line to enter the Housewives' League Sale 167
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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.837 | 0.697 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".