Diversité alimentaire et prééminence du riz dans les habitudes de consommation au Cameroun
Bibliographic record
Abstract
Le Cameroun dispose d’un potentiel naturel sous-exploité. Des dizaines d’aliments d’origine végétale permettent d’apprécier un pan de l’importance de ses ressources. La richesse de ses forêts et de ses terres est attestée par diverses études. Malgré cette multitude de ressources alimentaires, seule une quinzaine d’entre elles font partie des choix alimentaires des populations. Cependant, depuis des décennies, force est de constater que les populations recourent prioritairement au riz, négligeant ainsi les richesses alimentaires à disposition. Comment comprendre cet enclin à consommer principalement les produits rizicoles ? À travers cet article de réflexion, nous esquissons un paradoxe entre ce potentiel en ressources alimentaires et le choix des populations portées vers la consommation du riz dans un contexte de mutation des habitudes alimentaires. Par une approche anthropologique, la réflexion aboutit à la conclusion selon laquelle les ménages camerounais portent leur dévolu prioritairement sur les produits rizicoles.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".