Sustainable Peatland Management Model-A Case of Kalampangan Village, Palangka Raya City, Central Kalimantan, Indonesia
Bibliographic record
Abstract
18 kilometers from Palangka Raya City, the capital of Central Kalimantan, Borneo’s part of Indonesia, Kalampangan is populated by farming communities who primarily produce important tropical crops. This former transmigrant village was occupied in the early 1980s, is located on peatland with a depth of approximately 4 meters. Peat is a vulnerable, spongy and acid soils. Recently, pressure from regulation and market demands for low carbon products has forced some local farmers to stop burnt and over-drainage and adapt their agricultural practices to more sustainable practices. The adoption rate, however, is still low. This study identifies the challenges and efforts towards sustainable management in Kalampangan’s agricultural communities, based on the information collected during a field visit, soil sampling and the discussion sessions, held with the selective farming and its community. The roles of the stake-holder through transformative leadership were shown to be very important for the shift from conventional to environmentally-friendly practices.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".