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Record W4381707492 · doi:10.5335/rep.v30i0.14253

"O futuro já começou"

2023· article· pt· W4381707492 on OpenAlexaboutno aff
Francisco Vieira da Silva, Patrícia Diógenes de Melo Brunet, Thâmara Soares de Moura

Bibliographic record

VenueRevista Espaço Pedagógico · 2023
Typearticle
Languagept
FieldEnvironmental Science
TopicEnvironmental Sustainability and Education
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

O artigo analisa enunciados extraídos de coleções didáticas do Projeto de Vida, aprovadas pelo Programa Nacional do Livro e do Material Didático (PNLD), edição de 2021, com vistas a examinar como esses materiais balizam a construção do discente como um empreendedor de si, considerando as inflexões da racionalidade neoliberal no campo da educação. Partindo disso, pauta-se em autores como Foucault (2008a), Dardot e Laval (2016), Brown (2019), dentre outros. A metodologia segue uma abordagem descritivo-interpretativa, documental e de natureza qualitativa. O corpus foi formado por quinze enunciados recortados de três coleções didáticas do Projeto de Vida, mais especificamente o #Meu futuro projeto de vida, Caminhar e construir, bem como Planejando a jornada: um guia para seu projeto de vida. As análises possibilitam entrever que a constituição do empreendedor de si passa necessariamente pelo domínio de competências requeridas para a efetivação de um projeto de vida em franca conformidade com o regime neoliberal. Diante disso, podemos ponderar que esses materiais didáticos refletem os interesses mercadológicos subjacentes à Reforma do Ensino Médio, Lei nº 13.415/2017 e à Base Nacional Comum Curricular do Ensino Médio (BNCC-EM).

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)0.008
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.027
Threshold uncertainty score0.090

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.004
Science and technology studies0.0110.009
Scholarly communication0.0110.008
Open science0.0010.007
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0270.004

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 head0.288
Teacher spread0.265 · 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
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

Citations3
Published2023
Admission routes1
Has abstractyes

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