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Record W2954393666 · doi:10.1590/interface.180093

De que alimentação estamos falando? Discursos de jornalistas e análise de conteúdo de notícias populares

2019· article· pt· W2954393666 on OpenAlex
Mariella Silva de Oliveira-Costa, Deivson Rayner Teixeira da Costa, Ana Valéria Machado Mendonça, Lise Rénaud

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInterface - Comunicação Saúde Educação · 2019
Typearticle
Languagept
FieldAgricultural and Biological Sciences
TopicFood, Nutrition, and Cultural Practices
Canadian institutionsUniversité du Québec à Montréal
FundersFundação de Apoio à Pesquisa do Distrito Federal
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

A alimentação saudável é um dos principais temas da promoção da saúde e fonte de informação jornalística. A pesquisa analisa o conteúdo de jornal regional popular carioca e discurso do sujeito coletivo de suas jornalistas. Com metodologia quantiqualitativa, descritiva e exploratória, observou-se que o jornal dá foco aos efeitos de alimentos específicos e a recomendações do Guia Alimentar da População Brasileira e prioriza informações sobre alimentos in natura, em detrimento dos ultraprocessados. Há, porém, pouco espaço para a comensalidade e predominância da voz de especialistas. O discurso das jornalistas confirma os achados no impresso e destaca que parte dos textos analisados se configura como jornalismo de serviço com aspectos que se relacionam à promoção da saúde.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.468
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.033
GPT teacher head0.306
Teacher spread0.273 · 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