Memória, culpa e angústia nas narrativas de Alice Munro e Clarice Lispector
Bibliographic record
Abstract
This study analyses two writers from different nationalities and cultures, the Brazilian Clarice Lispector and the Canadian Alice Munro, to demonstrate the common treatment that both writers give to the childhood theme. The central aim is to examine, with the support of Freud‘s psychoanalytic studies, how childhood is important to understand the writers‘ fiction, or when a narrative voice revisits experiences lived in that period, or when the narrative is dominated by a childlike voice. In both events, memory is the central element in this anamnesis process. We seek to prove that even when dealing with different cultures, it is possible to develop a comparative study to show similar strategies applied by the writers. The selected narratives show relevant information concerning the chosen theme and enable to reveal the mode of composition and the concept of literary creation of each author. The analytical study of the narrative categories, especially the narrator, time and space, will be examined to show how they influence on the construction of the theme. Other features will provide support for the analysis, such as internalized narrative, the open end, the constant temporal and spatial distortions, the use of contradictory figures of speech such as oxymoron, unusual metaphors and antitheses, the portrayal of a paradoxical world and the concern with existential questions, all of which are shared by the authors, in addition to the theme, which allow the comparative work
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.014 | 0.008 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".