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Record W4237250265 · doi:10.12957/epp.2013.8593

Editorial

2013· editorial· pt· W4237250265 on OpenAlexaff
Rita Manso de Barros, Adriana Benevides Soares, Alexandra Cleopatre Tsallis, Ana María López Calvo de Feijoo, Deise Maria Leal Fernandes Mendes, Deise Mancebo

Bibliographic record

VenueEstudos e Pesquisas em Psicologia · 2013
Typeeditorial
Languagept
FieldArts and Humanities
TopicHistory of Medicine and Tropical Health
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

O volume 13 número 3 da revista Estudos e Pesquisas em Psicologia apresenta dezoito artigos relativos a diversas abordagens da Psicologia, uma resenha e ainda um artigo na sessão Clio -Psyqué.Passamos a apresentá-los.Em A Psicologia Discursiva nos estudos em Psicologia Social e Saúde, Emerson F. Rasera apresenta os principais pressupostos teórico-metodológicos da Psicologia Discursiva e reflete sobre as tendências e os desafios de sua utilização no campo dos estudos em Psicologia Social e Saúde, em que os principais desafios identificados se referem à hegemonia do discurso biomédico na saúde, às tradições realistas de pesquisa e à lógica tecnicista no cuidado em saúde.Denise da Cruz Paim, Rodrigo de Oliveira Machado, Helena B. K. Scarparo e Adolfo Pizzinato, no artigo intitulado Luzes, câmera ... ação!No ar, a transformação midiática do conceito de periferia no conceito de comunidade, propõem uma reflexão sobre a construção de uma cultura midiática de periferia e sua relação com o conceito de comunidade, ilustrada pela análise do caso Central da Periferia, programa exibido pela Rede Globo de Televisão, em 2006.O estudo busca entender como a construção discursiva do ethos do enunciador da periferia midiática transforma a cultura desse lugar em práticas de consumo.

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)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.039
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.027
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0030.002
Science and technology studies0.0030.002
Scholarly communication0.0070.003
Open science0.0030.001
Research integrity0.0080.010
Insufficient payload (model declined to judge)0.0390.028

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 head0.023
GPT teacher head0.272
Teacher spread0.248 · 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 designNot applicable
Domainnot available
GenreEditorial

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
Published2013
Admission routes1
Has abstractyes

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