A evolução do Programa de Subvenção do Prêmio do Seguro Rural: uma avaliação do período 2006-10
Bibliographic record
Abstract
ABSTRACT The paper aims to investigate the Brazilian Rural Insurance Program performance from 2006 to 2010. A review of the literature was performed on the operational basic underpins of the insurance industry with focus on rural insurance. It was developed also a synthesis of the international experiences on international rural insurance: United States, Canada, and the European Union; following that the Brazilian agricultural policy with regard to rural insurance was studied. The data was based on the Rural Insurance Census produced by MAPA – Agriculture, Livestock and Supply Office in order to assess the performance of the rural insurance program. The analysis pointed out that the Brazilian rural insurance program, despite its stabilization effect over rural incomes, still has small impact on the entire Brazilian crops production. Also, federal budget funds available must be improved in order to increase the percentage of insured crop areas. Finally, it was perceived the necessity to expand the program targeted to small and mid size producers. Key words: rural insurance; income insurance; agriculture policy.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".