“Somos olhos d’água!”: conversas sobre racismo e resistências COM universitárias indígenas do Quebec e do Brasil
Bibliographic record
Abstract
Este artigo é fruto das reflexões provenientes de projeto de cooperação desenvolvido entre a Universidade do Estado do Rio de Janeiro e a Université du Québec à Trois-Rivières, buscando conhecer as experiências de universitárias indígenas dos contextos do Rio de Janeiro e do Quebec. Com base na perspectiva dos estudos como nos/dos/com os cotidianos, conhecemos algumas das iniciativas e ações em rede desenvolvidas pelas próprias estudantes universitárias indígenas para acessarem e permanecerem na universidade. Suas experiências e reflexões revelaram a forte estrutura racista que ainda persiste em nossas instituições de ensino. Refletimos sobre os desafios que nós, na academia, pesquisadoras não-indígenas e indígenas, ainda precisamos enfrentar para fortalecer a presença e a continuidade das mulheres indígenas no ensino superior.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.007 |
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".