UTOPIAS AMERICANAS: ALTERIDADE E CIDADANIA NAS CIDADES DE SALVADOR E MONTREAL, EM JORGE AMADO E YVES THÉRIAULT.
Bibliographic record
Abstract
Este trabalho, na linha dos estudos comparativistas, busca rastrear discursos enunciadores da cidade em textos narrativos de dois escritores americanos: Jorge Amado e Yves Thériault. Esses autores, inscritos na tradição do realismo e fortemente ancorados na cultura popular, trazem ao texto literário a imagem da cidade como personagem e cenário da trama romanesca, espaço privilegiado onde o herói, numa clara reatualização da epopéia, vai sinalizar a possibilidade de refundação de novos pactos soci¬ais. Dessa forma, suas narrativas rompem com a visão da cidade apreendi¬da como inferno e sofrimento das massas e ressignificam os conceitos de “identidade”, “utopia”, “migração”, “etnia” e “nação”.Résumé: Ce travail, dans la tradition des études comparatistes, cherche d’identifier les discours énonciateurs de la ville dans des récits de deux écrivains américains : Jorge Amado et Yves Thériault lesquels ancrés sur la culture populaire apportent à leurs récits l’image de la ville,- soit comme personnage, soit comme décor de la trame romanesque,- tout en la rehaussannt en tant qu’espace privilégié dont le héros, dans une reactualisation de l’épopée, signalise pour la possibilité de refondation de nouveaux pactes sociaux et, de cette façon, ces auteurs essaient de rompre avec la vision de la ville en tant qu’enfer et souffrance pour les masses humaines, et resignifient les concepts d’ identité, utopie, migration, ethnie et nation.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.017 | 0.011 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".