Relações entre produção científica e indicadores de matrículas no censo escolar em Porto Velho-RO no contexto da inclusão
Bibliographic record
Abstract
Este trabalho teve como objetivo principal buscar relacoes entre os dados referentes aos indicadores de matricula dos alunos do publico-alvo da Educacao Especial no ano de 2018 em Porto Velho/RO e as producoes academicas dos Programas de Pos-Graduacao em Educacao e Educacao Escolar de Rondonia. A pesquisa, documental e descritiva, utilizou como fontes a sinopse estatistica da Educacao Basica do Censo de 2018 e buscas das dissertacoes dos Programas de Pos-Graduacao em Educacao (Mestrado Academico) e Educacao Escolar (Mestrado Profissional). O perfil da Educacao Especial no municipio pesquisado, tanto em classes comuns quanto em classes exclusivas, caracterizou-se pela prevalencia significativa de matriculas de estudantes com deficiencia intelectual, seguida pela matricula de alunos com transtorno do espectro autista e deficiencia fisica. A producao de conhecimento sistematizada indicou uma prevalencia de producoes na area da surdez. Os dados obtidos sugerem que: a) as futuras pesquisas realizadas no municipio estejam voltadas para os aspectos de avaliacao e diagnostico desse publico-alvo matriculado; b) que as pesquisas continuem fomentando as discussoes acerca dessas demandas, especialmente, em relacao as praticas pedagogicas e formacao docente.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".