Gastronomie québécoise et patrimoine edited by Marie-Noëlle Aubertin and Geneviève Sicotte
Bibliographic record
Abstract
Comment le Québec est-il passé d’une identité culinaire quasi inexistante à une valorisation sociale importante de sa cuisine? Comment le pâté chinois et la poutine, l’agneau de Charlevoix et la volaille Chantecler de tradition ou encore le temps des sucres sont-ils devenus des emblèmes gastronomiques? Au travers de différentes pratiques et produits, l’identité culinaire québécoise s’affirme de plus en plus. Cette gastronomie est en mutation et elle se construit en se dotant de valeurs patrimoniales. C’est sur ce processus de patrimonialisation que se focalise l’ouvrage Gastronomie québécoise et patrimoine. Dirigé par Marie-Noëlle Aubertin, doctorante au programme de muséologie, médiation, patrimoine à l’Université du Québec à Montréal (UQAM) et Geneviève Sicotte, professeure agrée au Département d’études françaises de l’Université Concordia, ce livre est le fruit d’une réflexion pluridisciplinaire autour de la gastronomie québécoise.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.018 | 0.002 |
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".