Desafíos de la memoria: Una misma noche de Leopoldo Brizuela y Purgatorio de Tomás Eloy Martínez / Challenges of Memory: On a Similar Night by Leopoldo Brizuela and Purgatory, by Tomas Eloy Martínez
Bibliographic record
Abstract
Este trabajo analiza dos novelas pertenecientes al nutrido corpus que elabora el trauma producido por la última dictadura militar en la Argentina. La de Leopoldo Brizuela, Una misma noche (2012), presenta un conflicto de filiación y culpa, y la de Tomás Eloy Martínez, Purgatorio (2008), narra los esfuerzos de una exiliada por buscar a su esposo secuestrado treinta años antes. La problemática de los desaparecidos y el duelo inacabado que estos representan son puestos en evidencia en los textos elegidos. El objetivo del análisis es considerar las estrategias empleadas por los dos autores ante la situación de narrar la historia cuando se ha sido protagonista indirecto o bien involuntario de los hechos narrados. Sobre esta base procuro analizar el funcionamiento de algunos elementos (el poder evocativo del lenguaje, el sueño como elemento representativo y la fantasía restituidora de lo que no está) para reflexionar sobre los alcances de la escritura a la hora de contar el horror, como parte del deber colectivo y personal de la memoria histórica. Palabras clave: literatura argentina; memoria histórica; dictadura: Leopoldo Brizuela; Tomás Eloy Martínez DOI: http://dx.doi.org/10.19137/anclajes-2016-2011
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.009 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".