The Protection and Empowerment of Farmers: Legal Policy Framework Beyond Farmer Insurance
Bibliographic record
Abstract
The welfare paradigm for the community is always related to the policy model that will be issued by the government and local governments. Legal policy is an instrument in an effort to provide justice, legal certainty and benefits for the community. Indonesia as an agrarian country needs protection for the development of the farming system for farmers by providing welfare guarantees for farmers. This is inseparable from the legal instruments that must be owned by the state in order to encourage concrete protection to farmers in the event of crop failure. Law of the Republic of Indonesia No. 19 of 2013 on the Protection and Empowerment of Farmers is a basic instrument in an effort to provide protection to farmers, especially on farmer insurance and the existence of the Minister of Agriculture Regulation No. 40 of 2015 on the Facilitation of Agricultural Insurance is a derivative of the protection of farmers. But the current problem is needed to strengthen the understanding of farmers to be part of the legal policy efforts of farmers in order to provide protection to farmers. This research uses a qualitative method with a normative approach and analyzes in depth the existing conditions.
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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 | 0.000 | 0.000 |
| 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".