¿Qué hacer con los muertos? Claudia Hernández y el trabajo del duelo en la postguerra salvadoreña
Bibliographic record
Abstract
El presente artículo explora el trabajo del duelo en la literatura salvadoreña contemporánea. Para esto, se presta especial atención al cuento “Hechos de un buen ciudadano” (Partes I y II) de Claudia Hernández. Se propone que el trabajo del duelo en la literatura salvadoreña de postguerra puede entenderse como un proceso inconcluso, el cual busca oponerse a los esfuerzos oficiales de “sanar las heridas del pasado” y rearticular la comunidad nacional. Así, el duelo inacabado, como lo presenta Hernández, se convierte en una demanda de justicia por los crímenes cometidos por el Estado. Palabras claves: El Salvador, Claudia Hernández, postguerra, duelo This article explores the task of mourning in contemporary Salvadoran literature with special attention to Claudia Hernández’s short story “Hechos de un buen ciudadano” (Parts I and II). It posits that the task of mourning in postwar Salvadoran fiction may be understood as an unfinished process that seeks to challenge the official aims of “healing the wounds of the past” and restore the national community. Therefore, the incomplete task of mourning, as Hernández presents it, becomes a demand for justice for the crimes committed by the State. Keywords: El Salvador, Claudia Hernández, postwar, mourning
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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 | 0.002 |
| 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 | 0.010 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| 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".