Bibliographic record
Abstract
Les rapports de la ville et du goût ont peu fait l’objet de recherche. Afin de contribuer à ouvrir ce chantier de réflexion, trois pistes principales sont explorées. La première s’interroge principalement sur la manière dont les villes, pour des raisons historiques, géographiques et culturelles, auraient développé des « savoriels » propres c’est-à-dire des systèmes de saveurs uniques qui seraient en quelque sorte leur signature. La seconde piste tente de montrer en quoi l’amour de la bonne chère à Montréal a des effets réels sur l’aménagement du temps et de l’espace urbains. Enfin, dans une perspective prospective, nous entrevoyons un accroissement des relations entre la ville et le goût, notamment à travers le développement de circuits gourmands, l’affirmation de villes-jardins comme nouveaux centres de production de nourriture et la création de nouvelles institutions consacrées au goût.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.022 | 0.001 |
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 teacher head, 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".