Dynamiques socioéconomiques dans les villages riverains au ranch de gibier de Nazinga au Burkina Faso
Bibliographic record
Abstract
Afin d’inciter les populations riveraines à la conservation des ressources fauniques, le Ranch de Gibier de Nazinga a adopté un modèle de gestion pour l’amélioration de leur condition de vie. Le but de cette recherche est d’étudier l’environnement socioéconomique dans lequel évoluent ces populations depuis la création dudit ranch. En utilisant principalement une démarche qualitative, la réalisation de cet objectif se fait en deux temps, soit primo en examinant les changements structurels socioéconomiques engendrés par le ranch dans la zone d’étude, puis secundo, en identifiant les impacts socioéconomiques du ranch et en explorant les perceptions des riverains sur ces impacts. Les résultats indiquent d’importantes améliorations sur les plans institutionnel et économique. Cependant, l’insuffisance d’infrastructures sociales de base et certains dysfonctionnements observés rendent les riverains quelque peu sceptiques et menacent la durabilité du modèle de gestion du ranch. En outre, il existe un conflit latent résultant d’une crise de confiance entre la direction du ranch et les populations riveraines.
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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 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".