Políticas de formação docente: as parcerias público-privadas na rede de ensino estadual paulista
Bibliographic record
Abstract
Este artigo é parte de uma pesquisa de Estágio Pós Doutoral realizada no Programa Educação: Currículo da Pontifícia Universidade Católica de São Paulo que estuda as parcerias público-privadas nas formações dos professores da rede estadual paulista. Objetiva analisar quais as parcerias de formação estabelecidas entre a Coordenadoria da Escola de Formação e Aperfeiçoamento de Professores – Paulo Renato Costa Souza (EFAPE) e as instituições privadas nos anos de 2018 e 2019. Recorre a abordagem qualitativa empregando a pesquisa bibliográfica e análise documental. O corpo teórico embasa-se em Hernandez, Laval, Freire e Feldmann. Os resultados apontam um número crescente de parcerias entre a rede pública e instituições privadas. A racionalidade neoliberal que permeia o campo da Educação e, mais especificamente, da Formação Docente fica confirmada, exigindo, do poder público, a criação de projetos colaborativos que incluam a garantia de princípios formadores emancipatórios e críticos fortalecendo a autonomia da rede pública de ensino.
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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 | 0.008 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.011 | 0.007 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.015 | 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".