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Record W3194981684 · doi:10.51913/revelli.v12i0.9457

DISCURSOS DO AGRONEGÓCIO NA MÍDIA BRASILEIRA

2020· article· pt· W3194981684 on OpenAlexaff
Manoel Sebastião Alves Filho, Carlos Piovezani

Bibliographic record

VenueREVELLI - Revista de Educação Linguagem e Literatura (ISSN 1984-6576) · 2020
Typearticle
Languagept
FieldEnvironmental Science
TopicRural Development and Agriculture
Canadian institutionsDiscovery Air (Canada)
FundersConselho Nacional de Desenvolvimento Científico e TecnológicoCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorFundação de Amparo à Pesquisa do Estado de São Paulo
KeywordsArtHumanitiesOperaPolitical scienceArt history

Abstract

fetched live from OpenAlex

O trabalho pretende analisar discursos sobre a operação da Polícia Federal batizada de “Carne Fraca” produzidos pela mídia brasileira e materializados em textos de gênero jornalístico em jornais e revistas de circulação nacional. Para melhor compreendê-los, inclui a análise de publicidades produzidas pelo próprio agronegócio brasileiro. Com base na Análise do Discurso de linha francesa derivada de Michel Pêcheux e em contribuições de Michel Foucault, buscaremos identificar o que se diz sobre a produção do setor e como foram formulados os enunciados a seu respeito durante o período de efervescência do acontecimento. Para tanto, analisaremos uma reportagem produzida pelo EL PAÍS e intitulada de “Operação Carne Fraca: o esquema podre que ronda os frigoríficos no Brasil”, uma edição da Revista VEJA intitulada de “A implosão da carne: como a imprudência da Polícia Federal atingiu em cheio um dos maiores negócios do Brasil”, e dois slogans costumeiros da indústria: “Friboi: carne confiável tem nome” e “Presunto é Sadia”.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.518
Threshold uncertainty score0.970

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0040.003
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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.

Opus teacher head0.014
GPT teacher head0.242
Teacher spread0.229 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueREVELLI - Revista de Educação Linguagem e Literatura (ISSN 1984-6576)Same topicRural Development and AgricultureFrench-language works237,207