The Effect of Organic Rice Productivity on Bali Food Security: A Case Study in Subak Peguyangan Denpasar, Bali
Bibliographic record
Abstract
This aimed at analyzing the level of productivity of rice produced by organic rice farmers and non-organic rice farmers in Subak farmer group in Peguyangan Village, Denpasar. From these results, an efficient and effective alternative solution was further formulated by a farmer group to determine the decision on growing organic or non-organic rice. This research was prompted by the concepts of food security, theory of productivity and costs. The research used primary data sourced from subak farmer groups in Peguyangan Village, Denpasar and from documents that existed in the farmer group. The analysis results showed that the difference in the level of significance of organic rice was 0.740 while the non-organic rice had a significant level of 0.581. This result means that the level of productivity produced for organic rice is greater than that of non-organic rice. Based on these results, it is recommended that subak farmer groups in Peguyangan Village, Denpasar plant organic rice because its significance level is greater than that of non-organic rice but also not have to completely ignore growing non-organic rice to stabilize the food needs of Balinese people.
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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 | 0.001 | 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 | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".