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Record W2780474260 · doi:10.18192/rceh.v41i2.2159

Imagining Andalusia: Race, Translation, and the Early Critical Reception of Federico García Lorca in the U.S.

2017· article· es· W2780474260 on OpenAlexaffvenue
Evelyn Scaramella

Bibliographic record

VenueRevista Canadiense de Estudios Hispánicos · 2017
Typearticle
Languagees
FieldArts and Humanities
TopicSpanish Literature and Culture Studies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsGarciaHumanitiesArtArabicPoetryLiteraturePhilosophyLinguistics

Abstract

fetched live from OpenAlex

A través del estudio de las primeras traducciones de la obra de Federico García Lorca al inglés, este artículo analiza la imagen de Andalucía, con su herencia africana y árabe, en los Estados Unidos. Al examinar una selección de reseñas que aparecieron en las revistas literarias americanas entre 1929 y 1936, demuestro que los elementos andaluces de la obra de Lorca llevaron en ocasiones a que el público estadounidense creara estereotipos de la cultura española como racialmente diferente, lo cual afectó la recepción crítica de la obra temprana de Lorca en inglés. Palabras clave: García Lorca, raza, traducción, Andalucía, recepción crítica This article examines the perception of Andalusia, with its African and Arabic past, in the United States by using a case study that analyzes the early English translations of Federico García Lorca’s work. Through a selection of reviews appearing in American literary magazines between 1929 and 1936, I show that the Andalusian elements of Lorca’s poems and plays at times caused the American public to stereotype Spanish culture as racially different, thus affecting the critical success of his early work in English translation. Keywords: García Lorca, race, translation, Andalusia, critical reception

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.890
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0030.002
Scholarly communication0.0020.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.021
GPT teacher head0.261
Teacher spread0.241 · 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

Citations3
Published2017
Admission routes2
Has abstractyes

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