Reducing green house gas emissions from oil palm in Indonesia: Lessons from East Kalimantan
Bibliographic record
Abstract
<b>Key Messages</b> <ul><li>National and provincial emissions reduction goals and efforts to slow deforestation may come into conflict with provincial and district level economic ambitions based on agricultural development.</li><li>Around half of existing oil palm concessions in East Kalimantan are on forested and peatland areas. If developed, these plantations will release ~206 MtCO2e into the atmosphere.</li><li>The expansion of oil palm plantations on currently allocated concessions will lead to the conversion of forested lands and swamp areas, including peatland, and represents a critical source of carbon emissions.</li><li>To ensure the sustainability of plantation expansion the government needs to undertake a review of all existing plantation permits to ensure that they align with existing sustainability criteria.</li><li>Green Growth does not present a win-win strategy and therefore requires strong political commitment, and awareness of social and environmental tradeoffs.</li></ul>
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".