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Record W2982530213 · doi:10.6018/monteagudo.400371

Un palimpsesto indeseado en la obra literaria de Juan benet: Julio Cortázar y sus minúsculas pedanterías.

2019· article· es· W2982530213 on OpenAlexaff
Jorge Machín Lucas

Bibliographic record

VenueMonteagudo · 2019
Typearticle
Languagees
FieldArts and Humanities
TopicComparative Literary Analysis and Criticism
Canadian institutionsUniversity of Winnipeg
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

Se estudia la influencia de Julio Cortázar en Juan Benet, partiendo de las entrevistas hechas a este último. Este lo criticó con virulencia y superficialmente pero, tras un estudio comparativo de sus respectivas obras literarias, se han advertido una serie de concomitancias entre ellos. Ambos relativizaron y descentraron los conceptos de realidad, de lógica y de tiempo y sus instrumentales epistemológicos, narratológicos o lingüísticos. Lo hicieron para elevar el nivel intelectual de los lectores y para así poder penetrar más en lo irracional, espacio de una razón «ultraperceptible» útil para nuestra evolución. I study Julio Cortázar´s influence in Juan Benet, based on the interviews made to the latter. He criticized him with virulence and superficially but, after a comparative study of their respective literary works, I found some similarities between both of them. they minimized and decentered the concepts of reality, logic and time as much as they did it with their epistemological, narratological or linguistic tools. they did that in order to raise the intellectual level of the readers and so as to penetrate more in the irrational, the space of a reason beyond perception and useful for our evolution.

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), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.932
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0120.002

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 head0.010
GPT teacher head0.245
Teacher spread0.235 · 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; both teacher heads agree on what is shown here.

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
Published2019
Admission routes1
Has abstractyes

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