La Gestion LOcale SÉcurisée (GELOSE) : L’expérience malgache de gestion décentralisée des ressources naturelles
Bibliographic record
Abstract
Marqué par une biodiversité exceptionnelle et une grande pauvreté humaine, la destruction rapide des ressources naturelles à Madagascar place le territoire et son appropriation au centre des enjeux de développement. Dans ce contexte, cet article s’intéresse à l’émergence et à la mise en œuvre d’une politique publique touchant la Gestion LOcale SÉcurisée (GELOSE) dont le principal objectif vise à transférer la gestion de ces ressources, de l’État vers les communautés locales, dans le but de les protéger plus efficacement. Cette lecture montre cependant que les objectifs, les ressources et les stratégies des principaux acteurs concernés sont difficilement conciliables et que le système de relation qu’il induit n’est pas nécessairement en phase avec les finalités poursuivies.
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 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) | 0.000 | 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 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".