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ATUAL POLÍTICA NEOLIBERAL DE MILITARIZAÇÃO DA ESCOLA PÚBLICA NO BRASIL

2020· article· pt· W3120533426 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueRevista Temas em Educação · 2020
Typearticle
Languagept
FieldSocial Sciences
TopicSocial and Political Issues
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesGovernoPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

O artigo traz uma reflexão sobre a atual política educacional brasileira, cuja direção segue no sentido de ampliar a privatizado da educação pública e fazer da educação escolar um espaço de formação de mentes e hábitos conservadores. A análise focaliza a política de militarização das escolas públicas como um dispositivo que permite o crescimento da convivência da ideologia da segurança nacional com o neoliberalismo. Essa interpretação é desenvolvida com base no livro de Dardot e Laval (2016). Em 2019, governo federal criou a Subsecretaria de Fomento às Escolas Cívico-Militares e o Programa Nacional das Escolas Cívico-Militares. Para a escrita deste artigo, a metodologia aplicada foi a análise dos instrumentos normativos assim como as informações disponibilizadas no site do programa e da mídia convencional. Até hoje, quinze estados e o Distrito Federal, além de 643 municípios, aderiram ao programa. Entendemos que se trata de uma política educacional que visa formatar pessoas dóceis e empreendedoras para um sistema que cada vez mais se aproxima da barbárie.

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.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.661
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.006

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 head0.071
GPT teacher head0.362
Teacher spread0.291 · 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