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Record W2290227705 · doi:10.18192/rceh.v39i2.1622

Avatares de la subjetividad intelectual venezolana y del Estado comunal bolivariano en Rating (2011) de Alberto Barrera Tyszka

2015· article· es· W2290227705 on OpenAlexaffvenue
Edgar Mejía Galeana

Bibliographic record

VenueRevista Canadiense de Estudios Hispánicos · 2015
Typearticle
Languagees
FieldSocial Sciences
TopicCultural and political discourse analysis
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

En este trabajo exploro la manera en que la novela Rating de Alberto Barrera Tyszka (Caracas, 1960) historiza la subjetividad intelectual en la Venezuela de las últimas cinco décadas (desde las vanguardias de los sesenta al presente). Mi lectura parte del análisis de una escena que considero clave (la expulsión del protagonista de la universidad y su ingreso laboral a un canal de televisión) para sugerir que la novela se articula en torno a nociones convocadas por las referencias a la universidad (cultura letrada, racionalización) y a la televisión (industrias culturales, melodrama, globalización), para explorar los ámbitos públicos (la política) y privados (afectos) de la actual sociedad venezolana y de la sociedad globalizada. Al mismo tiempo, sostengo que, a través de la elaboración de una compleja alegoría política, indaga en los orígenes del Estado moderno venezolano y en la forma que ha adquirido co la llamada revolución bolivariana, en particular la del Estado comunal.

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 score0.032
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.003
Scholarly communication0.0050.003
Open science0.0000.001
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 head0.020
GPT teacher head0.301
Teacher spread0.281 · 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

Citations1
Published2015
Admission routes2
Has abstractyes

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