Sustaining Mangrove and Rainforests: Land Rights and Collective Action in Indonesia
Bibliographic record
Abstract
This study explores land right transfer and collective action as strategies for sustaining mangrove and rainforests in Indonesia.Qualitative methods were employed, and 45 informants were interviewed in purposively selected locations.Historical analysis was used to examine forest management, while an Institutional Analysis Development framework was used to assess sustainability.The study found that the land rights regime for mangrove and rainforests has different mechanisms for sustainability.The legal aspects of mangrove forests rely on community awareness and proper management, while rainforest land rights are granted by the government for educational and research purposes.Collective action was identified as a suitable management strategy.Effective control of the situation requires stakeholder cooperation, and effective regulation implementation is necessary for managing the unique forest.Future research should focus on understanding the community's capacity to understand forest characteristics, mapping the interests and powers of forest managers, and applying forest sustainability principles.
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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".