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Record W2341908736 · doi:10.18192/rceh.v40i1.1608

Duelo por el padre y duelo por la patria. La poliatría en El olvido que seremos (2006), de Héctor Abad Faciolince

2015· article· es· W2341908736 on OpenAlexaffvenue
Kristine Vanden Berghe

Bibliographic record

VenueRevista Canadiense de Estudios Hispánicos · 2015
Typearticle
Languagees
FieldSocial Sciences
TopicLatin American Literature Studies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesArtEmblemLiterature

Abstract

fetched live from OpenAlex

En 2006, casi dos décadas después del asesinato de su padre, Héctor Abad Faciolince publicó una novela sobre este crimen titulada El olvido que seremos. En la medida en que sugiere múltiples relaciones entre la familia y la nación, y entre el padre y la patria, el libro supone un importante análisis revisionista del reciente pasado colombiano. Al mismo tiempo estas relaciones – sobre todo de contraste – suscitan la pregunta de saber hasta qué punto la memoria construida por el escritor – que en principio se presenta como incomparable y literal – tiene un valor emblemático y colectivo. Por los temas que aborda, el libro incita asimismo a reflexionar en torno al papel que pueden desempeñar la belleza y el olvido en los procesos de duelo. En la presente contribución estudiaremos estos temas en la novela del escritor antioqueño, situándolos en el marco más general de las letras colombianas e hispanoamericanas contemporáneas que tratan de la violencia en el reciente pasado histórico.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.163
Threshold uncertainty score0.323

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.011
Scholarly communication0.0080.004
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0140.001

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.

Opus teacher head0.012
GPT teacher head0.295
Teacher spread0.284 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2015
Admission routes2
Has abstractyes

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Same venueRevista Canadiense de Estudios HispánicosSame topicLatin American Literature StudiesFrench-language works237,207