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Record W1549650262

A evolução do Programa de Subvenção do Prêmio do Seguro Rural: uma avaliação do período 2006-10

2013· article· pt· W1549650262 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueIndicadores Econômicos FEE · 2013
Typearticle
Languagept
FieldEnvironmental Science
TopicRural Development and Agriculture
Canadian institutionsnot available
Fundersnot available
KeywordsAgricultureBusinessCrop insuranceRural areaLivestockEconomic growthCensusAgricultural economicsEconomicsGeographyPolitical sciencePopulationForestry
DOInot available

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.368
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0790.041

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.

Opus teacher head0.007
GPT teacher head0.214
Teacher spread0.207 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it