Bibliographic record
Abstract
Este artigo justapõe a proliferação do discurso sobre hispânicos no período que segue o pós-censo 2000 dos EUA com as representações performáticas de identidade cultural americana realizadas pelo mexicano-chicano Guillermos Gómez-Peña e pela indígena-Canadense Monique Mojíca. Opondo-se ao novo multiracialismo do Censo 2000 estadunidense, tanto os teóricos críticos anti-racistas da branquidade quanto os analistas antihispânicos conservadores denunciam a perda do paradigma racial binário capaz de definir claramente uma cultura euro-americana contra seus outros, não falantes da língua inglesa. Esses teóricos erram ao acusar o multiracialismo — e os hispânicos que adotam esse registro distintivo em sua auto-definição—como uma ameaça problemática ao paradigma racial da ‘gota única’, que se baseia em pressupostos de pureza racial. Ao contrário, as representações multilíngües e trans-americanas de Gómez-Peña e Mojíca vão além do falso dilema de paradigmas raciais ‘mistos’ e ‘fixos’, com o objetivo de criticar os legados assimilacionistas do colonialismo europeu. Tais representações reconstrõem, comparativamente, a história traumática da mestizaje, visualizando futuros alternativos e distintos para as Américas. Palavras-chaves: hispânic; Censo 2000 dos E.U.A.; branquidade;colonialismo europeu; multiracialismo; multilingüismo; trans-americano; memória; representação; raça.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.014 | 0.031 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".