Les compagnies aériennes, leurs menus et les religions qu'elles y reconnaissent
Bibliographic record
Abstract
Partant de l'idée bien établie que la religion exerce une influence profonde sur les modes d'alimentation, trois chercheurs en théologie, en géographie et en sciences politiques ont uni leurs connaissances pour débusquer cette influence là où on ne l'attend pas, dans les menus proposés par les compagnies aériennes.Pour ce faire, ils ont identifié les menus religieux reconnus par l'IATA (hindou, halal, cacher et jaïn) ; visité les sites Internet de 34 compagnies aériennes pour savoir quelles compagnies proposent quels menus religieux ; identifié comment ces compagnies prétendent répondre aux prescriptions des différentes religions ; cherché à comprendre les logiques théologiques, géographiques et/ou politiques derrière les choix des compagnies aériennes ; évalué l'impact que les menus religieux proposés par les compagnies aériennes exercent sur la relation entre religion et alimentation.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.021 | 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 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".