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Record W2779200836 · doi:10.18192/rceh.v41i2.2157

¿Qué hacer con los muertos? Claudia Hernández y el trabajo del duelo en la postguerra salvadoreña

2017· article· es· W2779200836 on OpenAlex
Ignacio Sarmiento

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueRevista Canadiense de Estudios Hispánicos · 2017
Typearticle
Languagees
FieldSocial Sciences
TopicLatin American Literature Studies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

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

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.722
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0040.003
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.012
GPT teacher head0.297
Teacher spread0.285 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it