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Educação ou adestramento? A disputa por uma formação humana integral na relação trabalho e educação no brasil e em portugal

2025· article· W7155223615 on OpenAlexaboutno aff
Rose Márcia da Silva

Bibliographic record

VenueRevista Nova Paideia - Revista Interdisciplinar em Educação e Pesquisa · 2025
Typearticle
Language
FieldSocial Sciences
TopicEducational Practices and Policies
Canadian institutionsnot available
Fundersnot available
KeywordsField (mathematics)Work (physics)Latin AmericansPoliticsCapitalism

Abstract

fetched live from OpenAlex

A educação pública, segundo Laval (2004, p. xiii),assim como “a estabilidade política, a liberdadede circulação financeira, o sistema fiscal favorávelàs empresas, a fraqueza do direito social e dossindicatos e o preço das matérias-primas”, tem se tornadoatrativa aos capitais e ganhou visibilidade e importânciaglobal no meio empresarial e nas políticas de adaptaçãodos governos. Nesse contexto, a educação configura-secomo um campo de forças, um afrontamento de grupose de interesses que apresentam lógicas distintas paraa transformação da escola: de um lado, a negação doprincípio da educação pública de “apropriação por todosde formas simbólicas e de conhecimentos necessários aojulgamento e ao raciocínio”, substituídos por “aprendizadosdóceis às empresas e voltados para a satisfação do interesseprivado” (Laval, 2004, p. xxi), que instaura a lógica mercantile intensifica as desigualdades; e de outro lado umaeducação que visa melhorar “as condições de assimilaçãoe de aquisição dos conhecimentos indispensáveis a umavida profissional, mas também, muito mais amplamentea uma vida intelectual, estética e social tão rica e variadaquanto possível” (Laval, 2004, p. xxi) para o maior númerode pessoas.

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)0.008
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.238
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.005
Meta-epidemiology (narrow)0.0040.004
Meta-epidemiology (broad)0.0050.004
Bibliometrics0.0020.006
Science and technology studies0.0060.003
Scholarly communication0.0100.005
Open science0.0070.003
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0190.004

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 head0.048
GPT teacher head0.398
Teacher spread0.350 · 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
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
Published2025
Admission routes1
Has abstractyes

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