Éleveurs et agriculteurs du nord du Cameroun face à la violence et aux insécurités
Bibliographic record
Abstract
Les insécurités et la violence qui affectent les populations rurales de la province du Nord (Cameroun) trouvent leur origine dans l’histoire et la crise économique qui touche ce pays depuis plus de 20 ans, ainsi que dans les crises politico-militaires fréquentes dans les pays voisins (Tchad, République centrafricaine). Les systèmes de production agropastoraux sont aujourd’hui fragilisés par l’insécurité foncière et fiscale et, plus récemment par des faits de banditisme armé. Les éleveurs Mbororo sédentarisés sont les plus touchés. La difficulté à résoudre les différentes formes d’insécurité provient, d’une part, de l’affaiblissement de l’administration qui ne reçoit pas assez de moyens de l’État et, d’autre part, du manque d’organisation de la société civile et des organismes de producteurs ruraux pour y faire face.
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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 | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".