I hear in what i read or i feel in what i see: musicality in four osmanian narratives
Bibliographic record
Abstract
This thesis is dedicated to the study of the presence of musical structures in four narratives of Nove, novena (1966): "A point in the circle", "Hahn's pentagon", "Baroque tale or tripartite unit" and "Pastoral". The choice of these narratives was made by bringing, in the literalness of the text, a permeability between literature and music. It focuses on perceiving the aesthetic features of a musical nature, either from the introduction of a sound sensation, or from structural elements shared or transposed between the musical and literary languages, forged in the elaboration of a new narrative writing. Osman Lins proposes a conception of literature that resembles a cosmogony, in which it is in the ordering of chaos by the word that the opportunity of dialogue with the reader is created and, from this, the possibility of a new look on the world and its social models. To this end, the writer uses technical and aesthetic procedures of the artistic creation in the field of the intersection between arts, in order to establish this debate. One of the musical variants that contribute to our work is the concept of "soundscape", coined by the Canadian composer, musicologist and critic Murray Schafer (2001), who affirms that it is possible to isolate a field of knowledge and study it as an acoustic field. Mikhail Bakhtin (1981), Umberto Eco (2010), Friedrich Nietzsche (2007), Mário de Andrade (2003), Italo Calvino (1990), Mircea Eliade (2011) and Gaston Bachelard (1978) actuates the research, establishing themselves as a theoretical foundation.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.014 | 0.019 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".