A COLETA SELETIVA EM UM PROJETO DE PESQUISA PARTICIPATIVA
Bibliographic record
Abstract
A organizacao de sistemas municipais de coleta seletiva, com a inclusao de catadores(as) tem se ampliado, nas ultimas decadas. Na Regiao Metropolitana de Sao Paulo, BR, a coleta seletiva tem apoiadores, mas ha muito a realizar com as equipes tecnicas de governo e, imprescindivelmente para a gestao participativa, com os catadores(as), seu fortalecimento, qualificacao e “empoderamento”. O objetivo desta pesquisa participativa, desenvolvida no interior do Projeto Gestao Participativa de Residuos Solidos (PGPRS- convenio inter universidades - Brasil. Canada) preve acoes educativas, a sistematizacao e analise dessas acoes, com o pressuposto basico do cooperativismo, visando ampliar a autonomia, a identidade etica, saude, auto estima e a busca de solucoes concretas para a comercializacao em rede dos residuos e a inclusao dos catadores(as) nas politicas publicas. A pesquisa enfrenta desafios, pois os envolvidos sao pessoas extremamente sofridas, da camada mais espoliada da pirâmide social, que tem como modelo (valores e relacoes interpessoais) do modo capitalista de producao, onde a hierarquia e a competicao predominam, antagonicamente ao cooperativismo, exigencia fundamental na construcao de outra logica. A preocupacao atual do Projeto e o entendimento da Nova Lei da Coleta Seletiva, aprovada em 2010.
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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 | 0.000 |
| 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 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".