O “Novo” Ensino Médio em análise: mapeando as produções acadêmicas entre 2016 e 2025 sob a ótica dos sentidos de inovação
Bibliographic record
Abstract
Este artigo apresenta uma análise do mapeamento de pesquisas acerca do Novo Ensino Médio (NEM), com ênfase nos discursos que sustentam a ideia de inovação curricular. A pesquisa mapeou a produção acadêmica publicada entre 2016 e 2025, considerando os impactos da Lei nº 13.415/2017, da Lei nº 14.945/2024 e do Projeto de Lei nº 5.230/2023. A análise baseia-se na perspectiva da Análise de Conteúdo de Bardin e em aportes teóricos de Ball, Brown, Foucault, Laval e Dardot, visando compreender como a racionalidade neoliberal opera nas reformas educacionais. Os resultados evidenciam a emergência de discursos hegemônicos que associam a inovação à empregabilidade, ao controle docente e à redefinição do conhecimento escolar, em um campo de disputas marcado por contradições e racionalidades de mercado.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".