Demand and Supply of Forest Products in Bandevi Buffer Zone Community Forest, Chitwan National Park, Nepal
Bibliographic record
Abstract
<p><em>Buffer Zone Community Forestry (BZCF) in the Chitwan National Park (CNP) started with an objective to engage locals and fulfill their resource needs without jeopardizing conservation. This study estimates the forest product demand and supply of fuelwood, fodder, and timber in Bandevi BZCF user group. Data was collected using stratified random sampling and forest inventory using the quadrate method. Results indicated Bandevi BZCF conditions improved since its handover to the community. However, the study estimated a deficit of 26173 cubic meters per year of timber, 3.21 million tonnes per year (Mt/yr) of fodder, and 0.12 Mt/yr of fuelwood. Deficits were fulfilled from agricultural lands outside BZCF and illegal collection from the Bharandavar corridor forest and CNP. BZCF program is a success in improving forest conditions and needs continuation. Policy and programs must focus primarily on livelihood improvement and income generations to reduce the dependency of local people on the forest.</em></p>
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".