Novos desafios no ensino do português
Bibliographic record
Abstract
A publicação que ora se apresenta, sobre Novos Desafios no Ensino do Português, resulta de uma compilação de trabalhos de vários investigadores e profissionais da educação, nacionais e estrangeiros, que se dedicam ao ensino e aprendizagem do português. (...). A consciencialização da necessidade de formação contínua de professores, envolvendo e simultaneamente responsabilizando a comunidade escolar, o aprofundamento e desenvolvimento do conhecimento científico nas diferentes áreas, particularizando neste caso o domínio da língua portuguesa, a utilização de estratégias e de atividades que vão ao encontro das necessidades, das assimetrias e das vivências dos alunos do século XXI e a articulação entre os diferentes ciclos e níveis de ensino afiguram-se, neste livro, como os vetores essenciais.
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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 | 0.010 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.003 |
| Science and technology studies | 0.005 | 0.008 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".