Bibliographic record
Abstract
Mientras las ficciones fundacionales hispanoamericanas del siglo XIX han sido analizadas por sus representaciones de las relaciones entre los amantes que forman gran parte de la trama de estas novelas, lafigura del padre no ha recibido el mismo nivel de atencion critica, en gran parte por su ausencia de las mismas narrativas. Este articulo explora la cuestion del fracaso patriarcal en las novelas decimononicas con un enfasis particular en Aves sin nido y Herencia, de la escritora peruana Clorinda Matto de Turner. Mientras en la primera novela hay varios ejemplos de padres eficacesy carinosos, ya en la segunda tales ejemplos han desaparecido y el acento de la novela recae en la influencia genetica de la madre. Matto de Turner emplea el discurso cientifico comun en el naturalismo para crear una vision determinista de la herencia genetica, pero su deseo de ofrecer soluciones a los problemas familiares y nacionales vicia esta misma vision cien tifica y determinista, y crea contradicciones irresolubles en la novela. Atribuimos estas contradicciones a las circunstancias politicas y personates bajo las cuales Matto de Turner escribio Herencia.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.010 | 0.010 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.003 |
| 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".