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Análise de políticas educacionais no contexto da prática da EPT no ensino médio nos IFs

2024· article· pt· W4406051563 on OpenAlexaboutno aff
Sidinei Cruz Sobrinho

Bibliographic record

VenueRevista Educação e Emancipação · 2024
Typearticle
Languagept
FieldSocial Sciences
TopicEducation and Public Policy
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPsychologyPhilosophy

Abstract

fetched live from OpenAlex

O artigo discute, criticamente, a problemática em torno da “análise” versus “avaliação” de políticas educacionais para a juventude na atuação política no contexto da prática da educação profissional tecnológica [EPT] no ensino médio nos Institutos Federais [IFs]. Nesse sentido, a pesquisa considera como os IFs, em nível nacional, têm feito a análise da política de EPT, principalmente em relação às muitas reformas na educação básica com ênfase no Ensino Médio articulado à Educação Profissional. A pesquisa aborda a problemática no contexto macro nacional e em relação às ideologias neoliberais impressas no modelo de avaliação de políticas educacionais sob critérios de governança, eficácia e eficiência. O texto analisa a política educacional em questão com fundamentação teórica em Ball, Dardot, Laval, Frigotto, Hipólito, Silva, et al. A pesquisa realiza uma análise hermenêutica da legislação normativa da política educacional e revisão bibliográfica da base teórica estudada. O estudo conclui apresentando a aproximação dos IFs às políticas neoliberais de reformas do ensino médio, bem como expõe provocações e sugestões de novas estratégias de políticas e de consideração do contexto dos efeitos.

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)0.003
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, 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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.489
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0010.001
Scholarly communication0.0040.001
Open science0.0020.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0290.029

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 head0.101
GPT teacher head0.440
Teacher spread0.339 · 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
GenreOther

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
Published2024
Admission routes1
Has abstractyes

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