Bibliographic record
Abstract
Les villages où l’auteur a recueilli les données alimentaires dont il est question dans cet article se situent dans la zone sylvopastorale et semi-aride du Ferlo, au nord du Sénégal. Les projets de développement et de lutte contre la désertification s’y suivent depuis les années 1970. La population est majoritairement peule, mais certaines familles sont également wolofs ou maures. À partir d’une enquête ethnographique approfondie, l’auteur met en lumière les tensions que suscite l’introduction de produits alimentaires industriels venus de Dakar ou de l’étranger dans ce Ferlo autrefois habitué à l’autosubsistance (mil, lait, plantes alimentaires sauvages). Il insiste sur la valeur symbolique de ces produits, mais aussi sur leurs ambivalences. Ainsi, le riz et le bouillon cube venus de l’extérieur sont tous deux porteurs de risques sanitaires compte tenu de leur apport excessif en sucre et en sel. L’auteur s’interroge en creux sur les nouvelles formes de dépendance alimentaire que cette situation induit.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".