Facteurs socio-économiques influençant la biodiversité ligneuse des parcs agroforestiers de deux villages du plateau central du Burkina Faso | Influence of socioeconomic factors on the biodiversity of woody species in agroforestry parkland systems: A case study in two villages in the central plateau of Burkina Faso
Bibliographic record
Abstract
Agroforestry parklands face strong pressure from the increasing population of the region. The World Agroforestry Centre (ICRAF Sahel) started a biodiversity project with the objective of developing methods to conserve biodiversity and to improve the situation of the poor rural population. In this context the present study examined the influence of land use unit and the prosperity classes of farmers on the biodiversity of woody species. A wealth ranking classification was carried out and applied to the households of two villages in the central plateau of Burkina Faso using the "Participatory Analysis of Poverty and Livelihood Dynamics" (PAPoLD) method. Thirty farmers of different prosperity classes were chosen and inventories carried out on their different land use units. Statistical analyses show an increase in biodiversity from the village housings. However, no significant influence on biodiversity was observed in connection with a farmer's prosperity class.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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".