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Record W7042681080

Perspectivas de género en la traducción de la obra de las mujeres poetas de las Vanguardias españolas

2016· dissertation· en· W7042681080 on OpenAlexaboutno aff

Bibliographic record

VenueUnissResearch (Università degli Studi di Sassari) · 2016
Typedissertation
Languageen
FieldArts and Humanities
TopicComparative Literary Analysis and Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsPoetryStyle (visual arts)Translation studiesOrder (exchange)Feminist movement
DOInot available

Abstract

fetched live from OpenAlex

The main aim of this research is to provide an analysis of the Italian translation of the poetry of a group of female authors of the Spanish Avant-garde movements, combining the theory of poetic translation with gender studies in translation. The translated poems that I analyze in this thesis are my own translations of some of Concha Méndez's, Ernestina de Champourcin's, Josefina de la Torre's, Rosa Chacel's, Cristina de Arteaga's and Lucía Sánchez Saornil’s works.<br/>
\nThe stated goal is to find a middle way between the radical strategies outlined by the Canadian feminist movement during the Eighties (cf. Diaz- Diocaretz 1985, Chamberlain 1988, 1998 , 1990 Godard, de Lotbiniere-Harwood 1991, Von Flotow 1991,1997, Simons 1996), and the translation techniques that are required to recreate the features of a poem without betraying the style and the aesthetics of the author (cf. Holmes 1969, 1978, Lefevere techniques 1975, Popovic 1976 Beaugrande 1978, Etkind 1982, Raffel 1988). My translation practice demonstrates that in order to translate <i>in the feminine</i> it is necessary to take a step further and introduce other important features that contribute to distinguish female discourse. Moreover, I will analyse the perspectives opened by the great feminist challenge in translation, and on the role of literature and translation in the rise of a new sensitivity in the female question.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.652
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.020
GPT teacher head0.307
Teacher spread0.288 · 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 designTheoretical or conceptual
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
Published2016
Admission routes1
Has abstractyes

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