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 unis 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 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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".