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Record W4386321937 · doi:10.52152/heranca.v3i2.310

Tyson, Obama e um novo Cosmos: uma breve análise sobre a representação do negro na ciência

2020· article· pt· W4386321937 on OpenAlexaff
Luciana Aparecida Ribeiro, Alexandre Freitas Campos

Bibliographic record

VenueHerança · 2020
Typearticle
Languagept
FieldPsychology
TopicScience Education and Perceptions
Canadian institutionsNortel (Canada)
Fundersnot available
KeywordsHumanitiesPhilosophyCosmos (plant)PhysicsArtArt history

Abstract

fetched live from OpenAlex

Este trabalho visa analisar a questão da representação da pessoa negra na produção audiovisual de divulgação científica Cosmos. Para isso, selecionamos como objeto as duas temporadas da série, exibidas, respectivamente, em 1980 e 2014 – cada uma com 13 episódios. Utilizamos como principal referencial teórico o livro Cultura e Representação, de Stuart Hall. Ao comparar as duas versões da série, tendo a obra de Hall como base norteadora, pretendemos avaliar se Cosmos pode ser considerada como um exemplo de ampliação da pluralidade e diversificação desta representação, rompendo com certos estereótipos relacionados ao aspecto de raça e etnia na produção audiovisual de divulgação cientifica. Apresentamos como proposta uma análise multimetodológica em consonância com uma revisão bibliográfica, assim como traçamos alguns paralelos entre o objeto de análise e outras produções audiovisuais que, de algum modo, também dialogam com a problemática do artigo, relacionando o negro e o contexto científico.

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)0.004
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.990
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.007
Science and technology studies0.0100.016
Scholarly communication0.0190.014
Open science0.0010.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0160.002

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 head0.106
GPT teacher head0.378
Teacher spread0.272 · 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.

Study designTheoretical or conceptual
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

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