“To Ensure the Continued Life of the Industry”: The Public Relations Campaign of the Ontario Brewers during WWII
Bibliographic record
Abstract
Il y a eu au Canada résurgence du mouvement en faveur de la tempérance au moment de la Deuxième Guerre mondiale. Or pour faire en sorte que la prohibition demeure une chose du passé, les brasseurs de l’Ontario ont entrepris une campagne de relations publiques afin de convaincre les Canadiens qu’il était bénéfique pour l’effort de guerre de brasser de la bière et d’en boire. L’article traite de l’évolution de cette campagne et tente de mieux nous faire saisir la philosophie qui inspire la défense d’une cause. Il soutient que pendant la guerre, les relations publiques sont devenues une forme subtile de lobbying, car les brasseurs ont cherché à améliorer leur image publique de façon à atteindre plusieurs objectifs politiques et économiques.
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 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 | 0.001 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads 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".