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Record W4323064152 · doi:10.24310/tsn.2022.v7i13.16370

María Zambrano y la poesía venezolana: un delirio de Reyna Rivas

2022· article· es· W4323064152 on OpenAlexaff
Goretti Ramírez

Bibliographic record

VenueTSN Transatlantic Studies Network · 2022
Typearticle
Languagees
FieldArts and Humanities
TopicSpanish Philosophy and Literature
Canadian institutionsConcordia University
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

María Zambrano (1904-1991) y la poeta venezolana Reyna Rivas (1922-2011) mantuvieron una relación de amistad y colaboración intelectual durante tres décadas. Varios estudios críticos han señalado el influjo del pensamiento de Zambrano sobre la poesía de Rivas en aspectos como la reflexión sobre la palabra poética, los sueños o el tiempo. Este estudio cifra tal relación en una reflexión compartida sobre la posibilidad de engarzar el impulso de lo naciente (el futuro) con el peso del tiempo (el pasado), que resulta especialmente significativa porque recoge una parte sustancial de las características del registro de escritura que Zambrano identifica como delirio en sus fundamentales «Delirio, esperanza, razón» (1959) y La tumba de Antígona (1967). Con este fin, se analiza el poemario Memorables (1975), de Rivas, para proponer una hipótesis con dos ramas: Memorables es un delirio al modo zambraniano (desvelando así otra faceta del influjo del pensamiento de Zambrano en Rivas y, por extensión, en la poesía venezolana); y, mediante la reflexión sobre el tiempo verbal del ante futuro, desarrolla una solución discursiva a la tensión entre el futuro y el pasado del delirio zambraniano (contribuyendo así a iluminar la obra de Zambrano).

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: Empirical
Teacher disagreement score0.146
Threshold uncertainty score0.289

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 studies0.0060.006
Scholarly communication0.0030.002
Open science0.0000.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.024
GPT teacher head0.249
Teacher spread0.225 · 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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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