Utopies américaines au Québec et au Brésil: essais de littérature comparée.
Bibliographic record
Abstract
A presente pesquisa investiga, primeiramente, a pertinência de um denominador comum na formação de utopias americanas, vinculadas à construção do Novo Mundo, capaz de gerar um método analítico denominado utopocrítica. Observa-se em seguida a materialização dessa matriz em três pares de romances brasileiros e quebequenses, dos anos trinta, Mar morto/Menaud Maître-Draveur, Terras do sem fim/Trente Arpents, São Bernardo/Un Homme et son péché, no sentido de se estabelecer a dinâmica de uma estética americana que os autores dessas obras põem em relevo, a partir da representação do encontro de povos diferentes.Résumé: Cette recherche examine tout d’abord la pertinence d’un dénominateur commun dans la formation d’utopies américaines rattachées à la construction du Nouveau Monde, capable d’engendrer une méthode analytique dénommée utopiecritique. On observe ensuite la matérialisation de cette matrice dans trois paires de romans brésiliens et québécois des années trente : Mar morto/Menaud Maître-Draveur, Terras do sem fim/ Trente Arpents, São Bernardo/Un Homme et son péché. On cherche à établir la dynamique d’une esthétique américaine que les auteurs de ces œuvres mettent en relief à partir de la représentation de la rencontre de peuples différenciés.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.007 | 0.014 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 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".