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 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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; both teacher heads agree on what is shown here.
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".