Pesquisa participativa reconectando diversidade: democracia de saberes para a sustentabilidade
Bibliographic record
Abstract
RESUMO Há uma hegemonia na produção de conhecimento associada à concentração de poder e exclusão cognitiva, cerceando o diálogo com saberes marginalizados que podem ser fundamentais para a sustentabilidade na necessária reconexão local-global. Para romper com esse contexto consideramos que ecologia de saberes, reflexão, e auto-organização podem ser promovidas por meio de pesquisas participativas, em que analisamos três distintas experiências para identificar interações intersetoriais e interdisciplinares, e diálogo envolvendo diferentes atores sociais em níveis organizacionais distintos. Com isso, arguimos que a natureza de processos participativos e dialógicos viabiliza a democratização de saberes, o engajamento e a diversidade de soluções compatíveis com os desafios da sustentabilidade.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.048 | 0.004 |
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".