Accès au foncier relatif à la pisciculture familiale au Centre-Ouest et au Sud-Ouest de la Côte d’Ivoire
Bibliographic record
Abstract
Le contexte combinant saturation foncière sur fond de marchandisation imparfaite de la terre, prise de valeur des bas-fonds et regain d’engouement pour la pisciculture familiale au Centre-Ouest (C.-O.) et au Sud-Ouest (S.-O.) de la Côte d’Ivoire complexifie le mécanisme acquisitif et conservatoire de droits portant sur le foncier piscicole. La présente étude s’est effectuée auprès de 213 pisciculteurs dont 142 au C.-O. et 71 au S.-O. ainsi que 34 acteurs fonciers non pisciculteurs en se proposant de décrire les modes d’accès au foncier piscicole dans ces deux régions. Il en résulte que, dans des proportions variables, divers modes sont adoptés pour l’accès au foncier piscicole. Ce sont le don, l’achat, l’héritage et le faire-valoir indirect (FVI) au travers desquels les pisciculteurs se garantissent des droits d’exploitation pérennes sur leurs sites de production.
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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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".