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MEMORIA Y DESILUSIÓN ANTE EL POSTRUJILLISMO EN TRES NOVELAS DOMINICANAS

2023· article· es· W4318814465 on OpenAlexaff
Ramón Antonio Victoriano-Martínez

Bibliographic record

VenueRevista Iberoamericana · 2023
Typearticle
Languagees
FieldSocial Sciences
TopicLatin American Literature Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

En este artículo analizaré la representación de varios momentos sociopolíticos dominicanos vistos a través de tres novelas escritas por mujeres. Desde el final de la dictadura de Trujillo (1930-1961) la República Dominicana vivió un período de gran turbulencia política: dos golpes de estado, una guerra civil, una invasión estadounidense y un gobierno marcadamente autoritario que dirigió una guerra sucia contras las fuerzas de izquierda. Al mismo tiempo la sociedad dominicana emprendió un camino de crecimiento económico sostenido y consolidación de una clase media que se insertó plenamente en los circuitos capitalistas de consumo. Margarita Cordero en Nosotras las de entonces (2020) y Rita Indiana en La estrategia de Chocueca (2000) y Hecho en Saturno (2018) retratan las reacciones a tres épocas decisivas en el devenir histórico de República Dominicana y sus efectos y consecuencias: 1) la Revolución de abril de 1965 y los llamados “Doce años” (1966-1978), 2) el advenimiento de la democracia y la década perdida de 1980 y 3) el retorno de Balaguer y la instauración de las políticas neoliberales, respectivamente. Si tal y como señala Idelber Avelar en The Untimely Present: “The imperative to mourn is the postdictatorial imperative par excellence”. (3) estas tres novelas no solamente lamentan la caída y pérdida del proyecto liberal dominicano sino que, desde una perspectiva femenina, ofrecen una descarnada radiografía de sus respectivos presentes.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, 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 score0.576
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.006
Science and technology studies0.0010.003
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.002

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 head0.014
GPT teacher head0.340
Teacher spread0.326 · 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
Published2023
Admission routes1
Has abstractyes

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