OS CONTEÚDOS ESCOLARES E A RESSURREIÇÃO DOS MORTOS: CONTRIBUIÇÃO À TEORIA HISTÓRICO-CRÍTICA DO CURRÍCULO
Bibliographic record
Abstract
O Professor Newton Duarte graduou-se em Pedagogia pela Universidade Federal de São Carlos (UFSCar) em 1985. Em 1987 e 1992, respectivamente, concluiu o Mestrado em Educação pela UFSCar e o Doutorado em Educação pela Universidade Estadual de Campinas (UNICAMP). Desde 1988 é docente da Universidade Estadual Paulista (UNESP), campus de Araraquara, onde obteve em 1999 o título de Livre-Docente e em 2009 foi nomeado para o cargo de Professor Titular. Realizou pós-doutorado na Universidade de Toronto, Canadá (2003-2004) e foi pesquisador visitante na Universidade de Sussex, Inglaterra (2011-2012). É líder do grupo de pesquisa Estudos Marxistas em Educação e pesquisador associado ao Institute for the Humanities, University of Simon Fraser, Vancouver, Canadá. É autor de livros, capítulos de livros e artigos, publicados no Brasil e no exterior.
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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 | 0.009 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.007 | 0.021 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".