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Record W11654193

El Aguilucho y el "carpe diem" posmoderno: García Montero lee a Góngora

2007· article· es· W11654193 on OpenAlexvenueno aff
Patrícia Saldarriaga

Bibliographic record

VenueRevista Canadiense de Estudios Hispánicos · 2007
Typearticle
Languagees
FieldArts and Humanities
TopicComparative Literary Analysis and Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt
DOInot available

Abstract

fetched live from OpenAlex

Este art?culo compara el soneto Mientras por competir con tu cabello de Luis de G?ngora, con Aguilucho, del poeta contempor?neo Luis Garc?a Montero. Despu?s de una breve revisi?n hist?rica del carpe diem, el estudio se enfoca en la alegor?a del tiempo. En el primero la competencia se realiza entre la belleza feme nina y la naturaleza, pero es el tiempo el vencedor de la contienda. El soneto de Garc?a Montero recontextualiza el topus dentro de un ambiente urbano y la competencia se manifiesta en una persecuci?n entre polic?a y h?roe. Se consideran las im?genes barrocas de la poes?a y de la pintura de la vanitas y se muestran las trasformaciones logradas por Garc?a Montero: el coche alado que representa al tiempo se convierte en un carro polic?aco, el rojo de las rosas se muestra en los se m?foros urbanos, las im?genes de guerra aparecen condensadas en un arma o el cristal del cat?logo de belleza se convierte en una insinuante botella de cocacola. Si bien el texto de Garc?a Montero puede considerarse una s?tira o una parodia gongorina, ambos poseen una caracter?stica com?n: la angustia existencial por la fugacidad de la vida. Se reflexiona entonces sobre las coincidencias entre la posmodernidad y el desenga?o barroco.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.963
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.023
GPT teacher head0.271
Teacher spread0.248 · 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 teacher head, not a consensus.

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
Published2007
Admission routes1
Has abstractyes

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