Terroir, politique et construction identitaire : le marketing public du vin en Ontario
Bibliographic record
Abstract
Résumé L’article se propose d’étudier quelques dispositions de la gouvernance publique du marketing du vin dans la province canadienne de l’Ontario. Il en ressort que la mise en place d’une véritable politique publique de soutien à l’industrie viti-vinicole en Ontario ne relève pas exclusivement d’une logique économique, mais également d’une logique politique fondamentale. La promotion du vin ontarien comme produit du « terroir » par excellence vise à construire une véritable identité proprement ontarienne centrée autour de la notion de bien-être et de qualité de vie. Le cas de l’Ontario illustre bien l’instrumentalisation des campagnes de promotion du vin à des fins politiques aussi bien qu’économiques
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.010 | 0.007 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 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; 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".