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Record W4414060645 · doi:10.70159/rcfacs.v25.806

Mídia e estética

2025· article· pt· W4414060645 on OpenAlexaboutno aff
Daniele Silva ALTERA, Bruna Silva COELHO, Luciene Siqueira BOMFIM, Polyane Alves Pereira LEANDRO, Ynnaiad Figueiredo ALMEIDA, Tauane Gonçalves Soyer

Bibliographic record

VenueRevista científica FACS. · 2025
Typearticle
Languagept
FieldSocial Sciences
TopicMedia, Gender, and Advertising
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Order (exchange)Work (physics)Sample (material)Socioeconomic status

Abstract

fetched live from OpenAlex

Historicamente, o padrão estético associado aos afrodescendentes foi subestimado devido ao estereótipo europeu, que privilegiava a beleza branca em detrimento da negra. Nos últimos anos, a televisão e as redes sociais têm ampliado a visibilidade da população negra, ainda que frequentemente sob estigmas ou idealizações estéticas excludentes. Este artigo tem como objetivo apresentar a influência da televisão e das redes sociais na construção dos padrões de beleza associados às pessoas negras. Trata-se de uma revisão narrativa de caráter descritivo, baseada na análise de documentos selecionados na base de dados SciELO, entre os anos de 2012 e 2024, utilizando descritores como “padrões estéticos”, “étnico-racial”, “mídia” e “estética”. Foram incluídas publicações em português e inglês, totalizando 33 documentos utilizados na redação do trabalho. Os resultados evidenciam que, embora haja avanços na representatividade, a mídia ainda tende a reproduzir padrões estéticos que invisibilizam traços negros, o que reforça a necessidade de práticas comunicacionais mais inclusivas e diversas.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, 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: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.726
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.040
GPT teacher head0.347
Teacher spread0.307 · 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
GenreOther

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
Published2025
Admission routes1
Has abstractyes

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