O INFERNO NÃO É QUENTE, MAS MUITO FRIO: UMA TRADUÇÃO DO CANADÁ A PARTIR DOS TRÓPICOS
Bibliographic record
Abstract
Pauline Melville e Cyril Dabydeen sao dois autores nascidos na America do Sul, mais especificamente na Republica da Guyana que vivem respectivamente na Inglaterra e no Canada. Ambos sao autores reconhecidos no pais onde moram e fora dele e continuam a escrever sobre os tropicos, Guyana, America do Sul e Caribe. Neste artigo me proponho a discutir dois textos produzidos por estes autores que invocam a Guiana e a dificuldade que pessoas tem de se adaptar ao Canada: da obra de Pauline Melville, focalizo em Beatrice, uma personagem de The Ventriloquist´s tale , de Cyril Dabydeen me concentro na personagem Ravi, do conto “North of Equator”. Ambos os textos nos apresentam personagens que, vivendo num pais pobre precisam migrar para o Canada mas precisarao de esforcos para entender ou “traduzir” o novo pais. Proponho-me a argumentar que os textos vao apresentando uma traducao e retraducao do Canada frio, por pessoas que saem do sul, do conforto do calor tropical. Estudiosos que discutem a traducao cultural tais como Barbara Godard (2009), Sherry Simon (2004), Peter Burke (2000), entre outros, e autores que estudam diaspora tais como Paul Girlory (1993) e Salman Rushdie (1993) me auxiliam a sustentar meu argumento.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.027 | 0.018 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".