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Record W4231815089 · doi:10.18192/rceh.v38i2.1683

Posthumous Voices in the Antología de la literatura fantástica: Santiago Dabove, Horacio Quiroga, and Edgar Allan Poe

2014· article· es· W4231815089 on OpenAlexaffvenue
José J. Álvarez

Bibliographic record

VenueRevista Canadiense de Estudios Hispánicos · 2014
Typearticle
Languagees
FieldArts and Humanities
TopicLatin American Literature Analysis
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Este artículo reconstruye el concepto de lo fantástico esbozado en el prólogo de Adolfo Bioy Casares a la Antología de la literatura fantástica y examina algunas de las inclusiones y omisiones más representativas de la colección. Debido a que Bioy incurre en imprecisiones y contradicciones al teorizar lo fantástico, este trabajo parte del análisis de un ejemplo concreto, “Ser polvo”, de Santiago Dabove. Aunque Dabove emplea varias de las estrategias que Bioy condena y recurre a fuentes que la Antología no admite, su narración es ejemplar, especialmente cuando se compara con “Más allá”, de Horacio Quiroga. El análisis de las estrategias textuales empleadas en ambos relatos y de sus vínculos con la estética sensacionalista de Edgar Allan Poe revela que lo fantástico es, en la Antología, un concepto plástico y utilitario que no se puede teorizar, pero que tiene un impacto tangible en la selección de textos. La inclusión de Dabove en la Antología y la exclusión de Quiroga - afamado precursor de lo fantástico - es el resultado de la aplicación de un concepto de lo fantástico en que las preferencias editoriales y los objetivos específicos de la Antología se cruzan con la polémica noción de “calidad literaria”.

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)0.002
metaresearch head score (Gemma)0.005
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 score0.994
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.028
Scholarly communication0.0090.007
Open science0.0010.006
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.006
GPT teacher head0.237
Teacher spread0.231 · 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

Citations0
Published2014
Admission routes2
Has abstractyes

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