Tentativas de desconstrução do racismo e preconceitos: um diálogo entre o Norte e o Sul do no século XXI
Bibliographic record
Abstract
Este artigo apresenta tentativas de desconstrução do racismo implementadas pelo Brasil e pelo Canadá. Quanto a esse país, aborda-se ação realizada na Faculdade de Educação da Universidade de São Paulo embasada na Lei 10639/03 e apoiada pelo CNPq no âmbito do Edital ProAfrica. Quanto ao Canadá, apontamos a Lei de Quebec, a Révolution tranquille;a Charter of Rights and Freedoms e os accommodements raisonnables como indicadores do movimento cotidiano que a sociedade quebequense faz no sentido de desconstruir diferentes formas de racismo, tal como podemos observar na constituição e existência de escolas de diferentes etnias, grupos sociais, religiosos, como, por exemplo, a Escola Portuguesa em Montreal. Finalmente, considera-se que a destruição do racismo e do preconceito são processos tão longos como a construção dos mesmos e são colocados em funcionamento nas sociedades estudadas caracterizadas pela recepção de imigrantes
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.015 | 0.039 |
| Scholarly communication | 0.012 | 0.005 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".