ANALISIS SPASIAL: MELACAK TRANSFORMASI LAHAN GAMBUT DAN IMPLIKASINYA TERHADAP EKONOMI MASYARAKAT
Bibliographic record
Abstract
This research aims to determine the condition of land use changes in peatlands. Where peatlands determine the resilience of Palangka Raya City through the level of vulnerability to disasters due to land and forest fires in peat conservation areas in the future. The literature review method was used in this research. The research results reveal that land resilience in Palangka Raya City, spatial and land planning factors need to be based on rational considerations in accordance with the existing potential of the area, so that there is efficient use of space without reducing land quality. Then, land conservation factors in Palangka Raya City are stipulated in spatial planning regulations which regulate the delineation and arrangement of cultivation areas and protected areas, developing protected areas as buffer zones, delineation and arrangement of agricultural areas. There are threats to land security in the form of flood disasters, rapid rates of urbanization or immigration, as well as various shocks and pressures, both caused by nature and humans. We need to be aware of this threat so that the peatland ecosystem in Palangka Raya City can be well maintained.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 0.002 |
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".