O PAPEL DO PROFESSOR UNIVERSITÁRIO EXTENSIONISTA NA FORMAÇÃO CONTINUADA DE PROFESSORES DE ESCOLAS INDÍGENAS NO QUEBEQUE: ENTREVISTA COM CORINA BORRI-ANADON (UQTR)
Bibliographic record
Abstract
Desde 2014, a professora Corina Borri-Anadon (Universidade do Quebeque em Trois Rivieres, UQTR) desenvolve, junto com sua colega de departamento Sylvie Ouellet e em parceria com o Centre d’Education des Premieres Nations (Centro de educacao das primeiras nacoes - CEPN), um curso de formacao de professores que trabalham em escolas indigenas. Entre julho e outubro de 2019 ela foi professora visitante em quatro universidade publicas brasileiras. Esta entrevista objetiva apresentar uma reflexao sobre a extensao universitaria a partir destas experiencias. Primeiramente e apresentado o olhar da pesquisadora visitante sobre as atividades de extensao das quais ela participou. Disto segue um dialogo sobre possiveis paralelos entre as abordagens de services a la collectivite no Quebec e a extensao universitaria no Brasil. O relato de uma experiencia na area de formacao de professores de escolas indigenas permite abordar as tensoes que caracterizam as praticas de extensao no contexto de uma universidade situada em territorio indigena reivindicado. Por fim, e feita uma analise critica sobre como a extensao universitaria vem sendo realizada em um contexto crescentemente marcado por uma logica gerencialista.
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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 | 0.023 | 0.038 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.015 | 0.009 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.003 | 0.013 |
| Research integrity | 0.005 | 0.011 |
| Insufficient payload (model declined to judge) | 0.010 | 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; 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".