Améliorer la compétitivité du bois de sciage légal en provenance de la zone agroforestière au Cameroun
Bibliographic record
Abstract
Depuis 1997, année d’attribution de la première forêt communautaire au Cameroun, le bois de sciage artisanal, issu des forêts communautaires, a du mal à trouver de la place dans le marché domestique pourtant en pleine expansion. La faible compétitivité de l’offre des forêts communautaires est un des freins importants pour la réduction de la pauvreté en milieu rural telle que souhaitée dans les nouvelles politiques forestières en Afrique Centrale. Le présent article, issu des travaux d’une équipe du Fonds Mondial pour la Nature et des structures partenaires, met en évidence les facteurs explicatifs de la faible compétitivité des forêts communautaires sur le marché domestique et propose en guise de conclusions, quelques stratégies dont la mise en oeuvre permettra à la foresterie communautaire de jouer pleinement son rôle dans l’approvisionnement des marchés domestiques, la gestion durable des ressources agroforestières et la réduction de la pauvreté en milieu rural.
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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 | 0.002 | 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) | 0.004 | 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".