Bibliographic record
Abstract
La presse gastronomique spécialisée s’adresse aux amateurs de cuisine et de gastronomie à la fois pour les informer, pour les guider et pour les divertir. Si le plaisir de cuisiner et le plaisir de manger sont à la racine de son existence, elle conjugue depuis toujours ces plaisirs à différentes « nécessités » pratiques qu’elle intègre dans son contenu (contrainte d’accessibilité des denrées, contrainte de temps, contrainte économique, contrainte d’information des consommateurs, etc.). Loin d’être opposées, ces dimensions de plaisir et de nécessité sont au contraire toujours combinées. Leur nature ainsi que la place qui leur est respectivement dévolue varient en revanche au cours du temps selon l’environnement socioculturel et le contexte gastronomique, mais aussi en fonction du type de professionnalité des journalistes et de la figure dominante de l’amateur.
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 | 0.002 | 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".