The assessment of fresh fruit bunches supply chain of palm oil independent smallholder farmers in southeast Sulawesi
Bibliographic record
Abstract
Palm oil commodity in Indonesia is the cash crop for smallholder farmers especially in the dry land area. This smallholder has contributed to produce Crude Palm Oil (CPO) about more than 40 percent in the supply chain. This study is aimed to identify downstream and upstream in the line of CPO palm oil. Secondly, is to know the role of the actors in the CPO supply chain and its traceability. This study employed the traceability method of networking of CPO supply chain in Southeast Sulawesi. Indonesia. Two research sites were conducted as the implementation of survey, observation, interviews and Focus Group Discussion (FGD). The respondents have chosen from the downstream to upstream of the CPO supply chain. Independent farmers, middlemen, delivery order, and Fruit Fresh Bunches (FFB) mills to produce CPO have been interviewed as the key informant of this research. Traceability study shows that the main source of FFB came from the core of PT. Damai Jaya Lestari both in the research site, plasma, and independent farmer. In North Konawe, the downstream line that farmers sell the FFB to the middlemen then they bring to the agency who has the delivery order from the CPO mills. Meanwhile, in Kolaka District, Independent farmers sold the FFB to the agency who has the contract with the PT. Damai Jaya Lestari in Plasma Village, Poliggona Sub District. In terms of the green economy, waste such empty bunches were limited access for farmers who wanted to proceed with the waste for organic fertilizer and feeding cows. The role and the traceability study show that independent farmers have no access to utilize the waste of empty bunches, no protection from the Damai Jaya Lestari as the CPO mills, and have no institutional farmers as the farmers group.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".