The Sustainability of Independent Palm Oil Smallholders in Multi-Tier Supply Chains in East Kalimantan Indonesia
Bibliographic record
Abstract
The smallholder oil palm farmers (SHFs) manage almost half of the Indonesian oil palm area, often associated with unsustainable oil palm sources. There has been limited research conducted to assess SHFs status in Indonesia. This study analyzed sustainability of existing Multi-tier Supply Chain Management through Rapfish diagnostic application with Multi-Dimensional Scaling (MDS) in oil palm mills, suppliers, and SHFs. This study found triadic typologies of MSCs in the Kutai Kartanegara District and six sustainability dimensions including economic, social, ecology, political, and institution to improve the regional strategy for sustainable palm oil plantations in the East Kalimantan Province. The closed triadic relationship in Gunung Sari and Pulau Pinang Villages has better performances on four sustainability dimensions compare to other villages. The oil palm mills could connect directly with SHFs and reduce asymmetric information and rent-seeking behavior through the traceable land ID system and enabling the Public-Private Partnership program.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".