Políticas de formação de formadores para educação de jovens e adultos (EJA) no plano nacional de educação PNE 2014-2024
Bibliographic record
Abstract
A formação de formadores representa antigo desafio e relaciona-se à eficácia das políticas educacionais implementadas pelo Estado brasileiro. O PNE constitui-se em importante instrumento para enfrentar os desafios impostos à área educacional, entre eles os da formação de formadores da EJA. O objetivo deste trabalho é analisar conquistas e perdas do processo coletivo que precedeu o PNE 2014-2024, suas contradições, desafios e possibilidades nas instâncias locais e estaduais, no que se refere à formação de formadores para a EJA. O foco recai na responsabilização das universidades e demais instituições de educação superior para com a formação do professor da EJA, nem sempre contemplada nos projetos pedagógicos das licenciaturas. A história demonstra a necessidade de priorização da educação básica, especialmente da EJA, frente às novas demandas do sistema educacional articulado que se quer construir com a participação ativa dos formadores de formadores num processo contextualizado e pertinente.
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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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".