FICÇÕES DE SI: UM OLHAR SOBRE MARCAS DE NASCENÇA, DE NANCY HUSTON
Bibliographic record
Abstract
This paper analyzes two works of the canadian writer Nancy Huston: Marcas de nascenca and A especie fabuladora. The main idea is to support the reading of the former work based on the reflections raised by the latter, especially regarding the aspect concerning issues such as the Meaning and the (re) invention of the self. The relevance of these concepts will be effective in an immersion in the universe of the four main characters of the novel Marcas de nascenca: Sun, Randall, Sadie and Kristina. The paper focuses on seeking the essence of Meaning in the life of each one of these characters, always considering two vital and non-discernible aspects: time and space in each of them. Therefore, literature and culture concepts will be considered such as the concept of Americanness as well as the Americanization, Identity, Fiction and Recognition. Thus, this assay is divided into two parts. The first one envisions the idea matter expressed by Huston in A especie fabuladora - the ceaseless quest for Meaning culminating in identity shaping – in order to seek understanding from this point of view the occurrence of certain cultural phenomena of which some characters from Marcas de nascenca are an expression. The second part observes each of the four main characters and strengthens the suggested initial idea (that the book's characters are constituent parts of a behavioral matrix vital to human existence), then filling the gaps of the two themes developed: the birthmarks transmitted throughout four generations and how these marks are recorded over fifty-six years of history.
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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 | 0.001 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".