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Record W2801798931 · doi:10.24933/horizontes.v36i1.603

Entre o abstracionismo pedagógico e os territórios de luta: a base nacional comum curricular e a defesa da escola pública

2018· article· pt· W2801798931 on OpenAlexaboutno aff
Eduardo Donizeti Girotto

Bibliographic record

VenueHorizontes · 2018
Typearticle
Languagept
FieldSocial Sciences
TopicEducation Pedagogy and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceSociologyArt

Abstract

fetched live from OpenAlex

Neste texto, analisamos a Base Nacional Comum Curricular (BNCC), aprovada em dezembro de 2017 pelo Conselho Nacional de Educação. Argumentamos que o documento pouco reconhece a relação entre escola, espaço e sociedade, tomando as unidades escolares como indiferenciadas, alvo de políticas unitárias, contribuindo para a reprodução das desigualdades educacionais. Apontamos, também, os possíveis impactos da BNCC sobre o processo de precarização do trabalho e da formação docente, com o avanço de uma lógica empresarial, que, centrada na produção de materiais didáticos, difunde a concepção de um professor como mero transmissor de conhecimentos. Além disso, discutimos como o documento difunde uma subjetividade neoliberal, nos termos propostos por Dardot & Laval. Em nossa perspectiva, a resistência a este projeto de currículo que amplia as desigualdades e a precarização da educação pública no Brasil pressupõe reconhecer a escola como território de luta, no qual os currículos são produzidos nas práticas socioespaciais de alunos, professores e demais sujeitos da educação.

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)0.005
metaresearch head score (Gemma)0.007
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 score0.108
Threshold uncertainty score0.216

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0060.009
Scholarly communication0.0100.004
Open science0.0010.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0080.001

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 head0.057
GPT teacher head0.374
Teacher spread0.318 · 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

Citations15
Published2018
Admission routes1
Has abstractyes

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