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Movimento global de reformas educacionais e a política nacional de educação digital: implicações da EaD e da educação híbrida na reconfiguração do trabalho docente

2025· article· W7117694088 on OpenAlexaboutno aff
Kátia Curado Silva

Bibliographic record

VenueRevista Educação e Políticas em Debate · 2025
Typearticle
Language
FieldSocial Sciences
TopicEducation Pedagogy and Practices
Canadian institutionsnot available
FundersWorld Bank Group
KeywordsContext (archaeology)Work (physics)Subject (documents)IdeologyField (mathematics)

Abstract

fetched live from OpenAlex

O ensaio analisa o movimento global de reformas educacionais e suas implicações na redefinição da escola, do trabalho docente e das políticas públicas de formação, tomando como foco a Política Nacional de Educação Digital (PNED), instituída pela Lei nº 14.533/2023. A partir de uma abordagem teórico-crítica, fundamentada em Gramsci, Freire, Saviani, Ball, Dardot e Laval, discute-se que essas reformas não constituem apenas um conjunto de medidas técnicas, mas um projeto político e ideológico de hegemonia, voltado à conformação de subjetividades e à reorganização do trabalho docente sob a lógica do capital informacional. Conclui-se que esse processo configura uma nova hegemonia educacional, sustentada por uma epistemologia da técnica e pela ideologia da eficiência. Em contraposição, o artigo reafirma a epistemologia da práxis como fundamento teórico e político para resistir à subordinação tecnológica, defendendo o professor como intelectual orgânico da classe trabalhadora e a escola pública como espaço de formação humana, crítica e emancipatória.

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)0.005
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.758
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0020.003
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.005
Science and technology studies0.0040.002
Scholarly communication0.0090.004
Open science0.0040.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0090.002

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 head0.033
GPT teacher head0.402
Teacher spread0.368 · 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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