Espantosa Graça: a inquietude do 'eu' em "Paixão", de Alice Munro
Bibliographic record
Abstract
RESUMO: Alice Munro, escritora canadense e vencedora do Prêmio Nobel de Literatura de 2013, é reconhecida por sua relevante contribuição dentro dos estudos de gênero. A ficção de Munro tem proporcionado aos leitores interessantes e complexas personagens, em especial no que tange ao papel da mulher face ao seu amadurecimento e sua inserção social. Neste estudo, pretendo desenvolver uma leitura do conto “Paixão” (ano 2004) de Munro tendo em vista a visão crítica da autora, a qual desafia pressupostos ligados a padrões tradicionais e presentes tanto na construção do feminino, quanto do masculino. Para o desenvolvimento desse estudo conto com o apoio das reflexões de Elisabeth Badinter e Chris Weedom. PALAVRAS-CHAVE: Conto, Gênero, Padrões, Alice Munro. _____________________________ ABSTRACT: Alice Munro, a Canadian writer and winner of the 2013 Nobel Prize for Literature, is recognized for her relevant contribution to gender studies. Munro's fiction has provided readers with interesting and complex characters, especially in reference of the role of women in face of their growing and social insertion. In this study, I intend to develop a reading of the story "Paixão" (year 2004) by Munro in relation to the author's critical view expressed through male and female representations , which challenge assumptions linked to traditional gender patterns. For the development of this study I count on with the support of the reflections of Elisabeth Badinter and Chris Weedom. KEYWORDS: Short-story, Genre, Standards, Alice Munro.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.019 | 0.016 |
| Scholarly communication | 0.009 | 0.011 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.009 | 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".