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Record W4385577648 · doi:10.17533/udea.mut/v16n2a09

Traducción, afecto y censura desde el mundo hispánico: Nightwood, de Djuna Barnes, y Tropic of Cancer, de Henry Miller

2023· article· es· W4385577648 on OpenAlexaff
Sofía Monzón Rodríguez

Bibliographic record

VenueMutatis Mutandis Revista Latinoamericana de Traducción · 2023
Typearticle
Languagees
FieldArts and Humanities
TopicTranslation Studies and Practices
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Este artículo estudia diferentes traducciones de obras de contenido sexualmente explícito como Nightwood, de Djuna Barnes (1936), y Tropic of Cancer, de Henry Miller (1934), que circularon en Latinoamérica y España. Durante los años sesenta, las editoriales latinoamericanas fueron pioneras en traducir y distribuir estas obras, las cuales, años más tarde, viajarían a la Península ibérica, donde habrían de enfrentarse al filtro censor del régimen franquista previa importación. El tema de las traducciones censuradas durante el franquismo ha sido explorado sobremanera en los últimos años; sin embargo, hay muy pocos trabajos que analicen la circulación de productos culturales publicados en Latinoamérica desde el punto de vista de la censura y el “afecto”. Un estudio preliminar, gracias al trabajo de archivo, demuestra que dichas traducciones ya presentaban (auto)censura en sus versiones primigenias, llevadas a cabo por traductores argentinos durante los años sesenta. La intención de este trabajo es, por tanto, investigar las metamorfosis producidas en las traducciones a causa de la censura explícita o implícita, para entender cómo la reescritura de estas obras en español afectó la recepción de Barnes y Miller a ambos lados del Atlántico.

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), 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 score0.778
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.027
GPT teacher head0.314
Teacher spread0.287 · 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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