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Record W3110680145 · doi:10.5418/ra2020.v16i29.12553

O extrativismo agrário do Governo Bolsonaro a partir das relações Estado-Sociedade

2020· article· pt· W3110680145 on OpenAlexaff
Gabriel Soyer, Ricardo Barbosa

Bibliographic record

VenueRevista da ANPEGE · 2020
Typearticle
Languagept
FieldAgricultural and Biological Sciences
TopicAgriculture, Land Use, Rural Development
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

A relação entre políticas sociais e governos progressistas na América Latina caracteriza o neoextrativismo. Com o golpe de 2016, uma só agricultura passa a ter espaço no Estado brasileiro – o monocultivo de larga escala para exportação. O agricultor camponês e familiar deixa de fazer parte do processo de construção de políticas públicas e, igualmente, não é mais atendido por elas. O extrativismo dos governos de direita demanda uma nova agenda de pesquisa. Como construir sentido da violência, do ódio aos povos do campo e apoio irrestrito ao agronegócio no governo Bolsonaro? A análise das relações Estado-sociedade evidência quais atores e interesses são beneficiados e quais são ‘deixados de fora’ ao restringir a participação política. Bolsonaro consolida um extrativismo sem limite: um ‘extrativismo total’ que ataca movimentos sociais do campo, extingue espaços institucionais, paralisa a reforma agrária e impossibilita a soberania alimentar.

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.

How this classification was reachedexpand

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)0.000
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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.074
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.038
GPT teacher head0.253
Teacher spread0.215 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations17
Published2020
Admission routes1
Has abstractyes

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Same venueRevista da ANPEGESame topicAgriculture, Land Use, Rural DevelopmentFrench-language works237,207