Linguagem, espaço e nação: um mapeamento das identidades multigeográficas do protagonista imigrante
Bibliographic record
Abstract
Neste trabalho, analiso duas obras que narram a migração: Estive em Lisboa e lembrei de você (2009), de Luiz Ruffato, um romance contemporâneo centrado na história de um migrante mineiro que vai para Lisboa, e Mar paraguayo (1992), de Wilson Bueno, que conta a história de uma prostituta paraguaia sem nome que reside em Guaratuba. Mais especificamente, argumento que os romances de migração com temas contemporâneos desafiam, alongam e/ou interrompem a coesão narrativa do espaço-tempo, obscurecendo, muitas vezes de forma progressiva, as fronteiras entre o nacional e o transnacional. Examino a ideia do espaço tanto no sentido concreto, no âmbito doméstico e o espaço urbano, quanto no sentido metafórico. Dentro deste marco teórico expandido, estendo o argumento espacial ainda mais, postulando que essas narrativas não apenas transgridem ou transcendem os espaços tangíveis, mas também que geram novas ou alternativas possibilidades espaciais a partir das quais podemos observar a construção e manutenção da identidade.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.008 |
| Science and technology studies | 0.011 | 0.015 |
| Scholarly communication | 0.013 | 0.010 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".