A BNC-Gestão e as Demandas Sobre o Papel do Gestor Escolar no atual Contexto Educacional
Bibliographic record
Abstract
Este artigo busca abordar a relação da BNC-Gestão - Base Nacional Comum de Competências do diretor Escolar com as reformas políticas na educação brasileira que, desde 1990, vem impactando os sistemas de ensino no que concerne a padronização, regulação e parametrização da educação básica. A metodologia estrutura-se na pesquisa qualitativa com aporte nas pesquisas bibliográficas e documentais, com o objetivo de analisar a relação das políticas púbicas que normatizam as reformas educacionais pactuadas nos ordenamentos neoliberais que coadunam com as propostas dos organismos hegemônicos do capital. Em conformidade com a intencionalidade deste trabalho, as leituras de autores como Laval (2004), Lima (2001), Bernardi, Uczack e Rossi (2018), Mészáros (2008), Freitas (2018), Paro (2010), Shiroma, Moraes e Evangelista (2011) e Giareta (2021, 2022), que possuem grande relevância no que tange a compreensão e demonstração da ação dos organismos multilaterais nas políticas públicas que ressoam na afetação do sistema educacional brasileiro em consonância com os aparatos ideológicos do capital. De fato, as reformas em curso desde 1990, e aprofundadas com a Base Nacional Comum Curricular (BNCC, 2017), atendem as demandas da hegemonia dominante. Deste modo, as instituições escolares buscam aderir às políticas educacionais, como a BNC-Gestão, e se adequarem aos novos arranjos da agenda política afim de resguardar as possíveis sanções que mediante os documentos normativos venham a sofrer.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.007 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.021 | 0.002 |
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.
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".