CONSTRUINDO UM MODELO CURRICULAR INTEGRADO PARA A EJA/FIC
Bibliographic record
Abstract
Esse trabalho apresenta um modelo possível de desenvolvimento estrutural curricular integral, composto a partir da experiência dos autores, com o Projeto Mulheres Mil – Educação, Cidadania e Desenvolvimento Sustentável, Sub-Projeto “Desenvolvimento Comunitário: Impacto na Qualidade de Vida e Ambiental”, firmado pela parceria SETEC/MEC e o Group Collegia, do Quebec, Canadá. O Projeto Mulheres Mil foi inicialmente desenhado para execução da Rede Norte-Nordeste dos ex-CEFETs, hoje Institutos Federais, com execução a partir de 2008, no Instituto Federal da Paraíba, Campus João Pessoa. Teve o objetivo de apoiar, na prática, um dos modelos de políticas de inclusão social, revestido, na forma inicial, pelo Reconhecimento da Aprendizagem Prévia, tendo como alvo pessoas fora da faixa etária da escolaridade regular, trabalhadoras e, sem exceção, mulheres.
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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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.014 | 0.010 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.027 | 0.004 |
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".