Accommodating the Interest of Local Community in Resolving Conflicts: A Case in Bentayan’s Wildlife Area, South Sumatra, Indonesia
Bibliographic record
Abstract
<p>The developments of forest conservation Wildlife (SM) in Bentayan as flora and fauna ecology has created a conflict within the society and has negatively affected the wellbeing of the community in the area. The communities have used a lot of natural resources for their life. A development of Bentayan’s Wildlife Centre has been opposed by the community as the usage of various natural resources have been restricted after the development of the wildlife centre started. In order to solve the conflicts, many strategies have been employed. However, the expected outcome has not yet been achieved. Therefore, the current study provides a conflict resolution model approach to accommodate the interests of all parties, both society and government through the Natural Resources Conservation Center. The model was developed from narrative data that was collected through series of dialogues and negotiation process with both parties (community and agency/Centre) involving stakeholders and community members. This proposed model can be used as a framework for managing forestry and wildlife centre.</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 | 0.010 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| 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".