Fuelwood Collection in North-eastern Zimbabwe: Valuation and Caloric Expenditures
Why this work is in the frame
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Bibliographic record
Abstract
The value of forest resources in developing countries has been the focus of considerable research and is significant in developing policies for resource use. In this paper the value of forests in terms of fuelwood provision is examined by constructing a behavioral model of choice of fuelwood collection site for two communal areas in Zimbabwe. In the research areas, fuelwood sales are banned and labour is rarely hired for collecting fuelwood. The impacts of changes to the forest resource base are evaluated by assessing the changes in caloric expenditures made by local people. This measure of value may be relevant to households in developing countries and may provide insights for policy analysis. The results show that the “cost” of losses of fuelwood sites may be a significant percentage of the total caloric intake of the village women.
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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 it