STRATEGI ON RELEASING NON-PRODUCTIVE OF FOREST CONVERSION AREA FOR TORA PROGRAM IN RIAU PROVINCE
Bibliographic record
Abstract
Development process needs lands as natural resources. Unfortunately, availability of land is relatively limited. Therefore, it needs releasing process of forestland to become non forestland. In the process of releasing the forestland, there are some policies which need stakeholders to consider so the minimum required forestland of 30% is fulfilled. Releasing forestland area is possible to undertake on non-productive forest conversion area which is also for the government agrarian reform programs which is called Nawacita. The objective of this research is tooffer answer about the indicative forestland which can be used for development needs, particularly for poor people who live near the forest. The results indicate that non-productive of conversion forest can provide land for development in Riau Province for about 205,847.86 hectares (93.01%) from the total conversion forest area based on agrarian reform program. Permanent forested land which needs to be maintained as forest area is 1,102.42 hectares, because most of the area are still primary forests. For the effectiveness of releasing conversion forest area, socialization programs to inform the community is needed.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 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".