Centro de Pesquisa e Formaçao do SESC: o papel das parcerias na composiçao dos saberes
Bibliographic record
Abstract
Em meio as recentes mudancas economicas e a relativa generalizacao das novas tecnologias midiaticas, que possibilitou nao so o acesso a milhares de pessoas a diferentes bens de consumo, mas tambem a producao e a circulacao de uma infinidade de praticas e producoes culturais, uma sensivel forma de atuacao cultural se desenha na contemporaneidade, contribuindo para difundir inumeras manifestacoes culturais na periferia das grandes cidades. Sob a perspectiva de Michel de Certeau, a formacao de profissionais que atuam em toda a extensao da vida social, centrada na cultura no plural (Certeau, 1995), devera, entao, estar atenta e conectada a esta sociedade cada vez mais complexa e criativa. Nessa perspectiva, o Sesc criou em 2012 o Centro de Pesquisa e Formacao, voltado a pensar a gestao cultural por meio de cursos e pesquisas nesse campo. Desse modo, pretende-se compartilhar a experiencia da confeccao do workshop Espacos de Memoria e Cultura, realizado pelo Centro de Pesquisa e Formacao do Sesc em parceria com o Museu da Pessoa e o Musee de La Civilisation, Quebec, Canada, nos anos de 2015 e 2016, no qual participaram gestores culturais de 10 instituicoes culturais da cidade de Sao Paulo, sob o eixo norteador da Museologia Social, com o objetivo de refletir sobre as praticas culturais contemporâneas.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.037 | 0.005 |
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".