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Record W2942768714 · doi:10.18192/rceh.v42i3.2137

Nuevos miedos en la literatura policial de Chile y Argentina

2019· article· es· W2942768714 on OpenAlexvenueno aff
Gabriela Maldonado Muñíz

Bibliographic record

VenueRevista Canadiense de Estudios Hispánicos · 2019
Typearticle
Languagees
FieldSocial Sciences
TopicLatin American Literature Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesContext (archaeology)ArtGeography

Abstract

fetched live from OpenAlex

El elemento fundante del miedo en la narrativa policial adquiere forma acorde a la sociedad aludida. El objeto temido es cambiante porque se refiere a un presente y puede ser identificado tanto en los tópicos narrativos como en la forma en que estos son narrados. Este artículo busca entender la relación entre el éxito editorial que tiene hoy el género policial en dos países del Cono Sur, Argentina y Chile, y los miedos específicos que estos textos sobre crimen señalan. Teniendo como marco teórico los estudios sobre el miedo y siguiendo la idea de Jacques Rancière de que toda política deriva en reflexión estética, se analiza la manera en que escritores chilenos y argentinos (Roberto Bolaño, Mario Valdivia, Josefina Licitra, Mariana Enríquez y Claudia Piñeiro) enmarcan, explican o distribuyen el mundo sensible, mostrando nuevas manifestaciones del miedo comprendido en lo que sería un “realismo capitalista”. En este caso en particular, se trata de un temor producto de la vulnerabilidad generada en un contexto neoliberal cuyo leitmotiv es el consumo y la exclusión.

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)0.005
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 score0.094
Threshold uncertainty score0.186

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0070.008
Scholarly communication0.0060.003
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.005
GPT teacher head0.263
Teacher spread0.257 · 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

Citations23
Published2019
Admission routes1
Has abstractyes

Explore more

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