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Record W4297243302 · doi:10.1075/tris.22020.buz

What ever happened to the<i>belles infidèles</i>?

2022· article· en· W4297243302 on OpenAlexaff
Hélène Buzelin

Bibliographic record

VenueTranslation in Society · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicTranslation Studies and Practices
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsPublishingComicsRomanceTranslation studiesLiterary translationWorld literatureSociologyLiteratureNorm (philosophy)HistoryLinguisticsEpistemologyArtPhilosophy

Abstract

fetched live from OpenAlex

Abstract Over the past thirty years, crime fiction, children’s literature, comics and, to a lesser extent, romance novels have received growing attention from translation scholars. Drawing on an analysis of this translation studies literature and interviews conducted with translators working in different publishing sectors, this paper revisits the hypothesis of Clem Robyns (1990) , who proposed that non-canonical literary translations are the belles infidèles of the twentieth century. In a spirit reflecting the evolution of the discipline, the author examines not only the textual norms, but also the translators’ viewpoint and their role in the publishing process. The questions at the heart of this reflection are the following: to what extent does adaptation – to use a less value-laden term than belle infidèle – (still) constitute the translation norm of non-canonical literatures? How do the actors participating in the translation of these literatures and their involvement in the publishing process differ from those governing the translation of institutional literature? Finally, what can the study of these literatures teach us about translation and some of the key notions and oppositions in contemporary translation theories?

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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: none
Teacher disagreement score0.870
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.072
GPT teacher head0.282
Teacher spread0.209 · 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

Citations2
Published2022
Admission routes1
Has abstractyes

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