O conceito de pesquisa colaborativa: a idéia de uma aproximação entre pesquisadores universitários e professores práticos
Bibliographic record
Abstract
Este artigo descreve as bases conceituais da abordagem colaborativa de pesquisa em educação, especificamente, aquela abordagem que reúne pesquisadores universitários e docentes acerca de questões relativas ao seu exercício profissional. Três enunciados estruturam esta conceituação: 1) a abordagem colaborativa supõe um processo de co-construção entre os parceiros envolvidos; 2) joga simultaneamente sobre dois registros, que é o da produção de conhecimentos e o do desenvolvimento profissional dos docentes;\n3) contribui para a aproximação e mediação entre comunidade de pesquisa\ne escolar. No horizonte desses três enunciados se perfila uma visão socioconstrutivista do “saber” a ser desenvolvido, a partir de um processo coletivo de interpretação, no qual teoria e prática se relacionam constantemente.
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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 | 0.030 | 0.035 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.023 | 0.050 |
| Scholarly communication | 0.036 | 0.020 |
| Open science | 0.003 | 0.026 |
| Research integrity | 0.008 | 0.010 |
| Insufficient payload (model declined to judge) | 0.008 | 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".