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 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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".