Maneras de evitar el olvido: el registro del duelo según <i>En estado de memoria</i>
Bibliographic record
Abstract
El analisis de En estado de memoria (1990), novela escrita por Tununa Mercado, nos permite problematizar del papel del trauma como generador de memoria y la capacidad de esta para subvertir una historia totalizadora. Desde la distincion que Amos Funkenstein propone entre memoria individual y colectiva, este trabajo estudia la representacion de los procesos de memoria por los que atraviesa la protagonista del texto. El ensayo identifica tres etapas a lo largo de la narracion: primero, se ocupa de los mecanismos de construccion de los recuerdos. Despues, a partir de una lectura benjaminiana del duelo y la melancolia, argumento que la manifestacion del duelo de la protagonista se convierte en una empresa productiva politicamente. Por ultimo, considerando la tipificacion que Ricoeur hace del olvido, elaboro sobre la posibilidad del olvido como una opcion etica viable.The analysis of En estado de memoria (1990), a novel by Tununa Mercado, allows us to problematize the role of trauma as originator of memory and...
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.011 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".