Need for sustainability policy – a case study of the Natural Forest Conservation Program (NFCP) in the western region of Tianshan Mountain, China
Bibliographic record
Abstract
A case study of the Natural Forest Conservation Program (NFCP) in the western region of Tianshan Mountain was undertaken between 2001 and 2003. Data on the geographic, climatic, ecological, and social economy background of the study area were collected. The impact of the NFCP on the forest, soil, water, and biodiversity in the study area were analyzed and evaluated. The results show that a complete logging ban in the study area cannot replace sustainable forest management; a more flexible policy should be adopted to resolve technical, social and economic problems associated with the complete and suddenly implemented logging ban. In order to strengthen the long-term sustainability of the NFCP, public awareness and funding support China should be increased. Key words: sustainability, Natural Forest Conservation Program, NFCP, forest management, Tianshan Mountain
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".