EVALUATION OF LEARNING TO SUPPORT AND PROMOTE DIVERSITY
Bibliographic record
Abstract
O principal objetivo desta proposta de dossiê temático é o de promover intercâmbios e estimular debates sobre os trabalhos na área da medida e da avaliação, num contexto de inovação que favoreça a inclusão, tendo em conta a natureza transversal do tema em múltiplos domínios do conhecimento e de formação (didática, medidas e avaliação, adaptação escolar, pedagogia universitária, etc.). Para tanto, especialistas em diferentes áreas do conhecimento trazem textos originais e inéditos, respondendo a uma ou outra das questões apresentadas anteriormente. Estas questões são aqui tratadas segundo três ângulos de análise, o dos processos de aprendizagens realizados pelos alunos, o das práticas docentes de professores e futuros professores ou o da formação inicial e continuada de professores tanto no ensino fundamental e médio, como no ensino superior (colegial e universitário).
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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 | 0.013 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 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; a candidate call from one teacher head, 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".