La destrucción del idilio familiar en La tía Tula de Unamuno y Familia de Ba Jin, un estudio comparatista
Bibliographic record
Abstract
Tanto en la filología hispánica y como en la china solemos comprender el término idilio como composición, de carácter pastoril y bucólico. No obstante, desde un punto de vista estético, tiene un sentido más complejo, como explicara el pensador ruso Mijaíl Bajtín. Siguiendo la interpretación del idilio de Bajtín y de Beltrán Almería, observaremos la destrucción del idilio familiar en la Modernidad a partir de dos obras de Miguel de Unamuno y Ba Jin, La tía Tula yFamilia. Ambas han tenido gran resonancia en la literatura hispánica y china, respectivamente. Sus autores ocupan puestos de honor en las literaturas modernas española y china. La investigación literaria sobre Ba Jin no está desarrollada en España. Igualmente, las novelas de Unamuno aún no han recibido la atención que merecen tener en China. Este estudio pretende aproximarse a la estética común (la destrucción del idilio) que funda ambas novelas.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".