KAJIAN PEROLEHAN KARBON SEBAGAI DAMPAK INTERVENSI KASUS: EKS-PLG BLOK A, MENTANGAI, KALIMANTAN TENGAH (CARBON RESULT STUDY AS INTERVENTION IMPACT, CASE: EKS-PLG BLOCK A, MENTANGAI, CENTRAL BORNEO)
Bibliographic record
Abstract
CCFPI is project activity on “Climate Change, Forests and Peatlands in Indonesia” funded by the “Canadian International Development Agency” (CIDA) through Climate Change and Development Fund, Canada. This project is designed to increase sustainable management of forests and peatlands in Indonesia in order to increase the capacity in carbon sequestration and also better of community incomes. One of project location in Kalimantan is area Ex-PLG Blok A, Mentangai, Central Kalimantan. This article present study on total value carbon gained as impact from various interventions in location of CCFPI project activity in area Ex-PLG Blok A, Mentangai. Method of estimation on carbon stock is conducted by Sample Plot of Measurement (PCP). Calculation of carbon stock with equation of alometrik which is present in Field Guidance to Estimate Carbon Stock on Peatland (Murdiyarso et.al., 2004). Activity of cannal blocking by CCFPI project has result to the positive impacts to the reduction rate of carbon both for above and below ground carbon as well as carbon content by tree plantation established by the community inside the areas of around 43,451 ha. Based on result of calculation, the amount of above ground carbon stock obtained 14,448 ton C. Carbon stock found in the trees plantation in surrounding the cannal 0.777 ton C. Below ground carbon stock is ranged between 550,782 ton C up to 2,223,424 ton C.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.031 | 0.003 |
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".