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Record W109426496 · doi:10.21992/t90s53

Lorsque la traduction sert de frontière entre deux cultures : une analyse traductologique de la voix-over dans la version anglaise de Léolo

2014· article· fr· W109426496 on OpenAlexaffvenueabout
Arianne Des Rochers

Bibliographic record

VenueTranscUlturAl A Journal of Translation and Cultural Studies · 2014
Typearticle
Languagefr
FieldArts and Humanities
TopicTranslation Studies and Practices
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesPhilosophyArt

Abstract

fetched live from OpenAlex

La traduction de films peut en dire long sur les relations entre deux cultures, ce qui en fait un sujet d'étude des plus fascinants. En tant qu'espace de pratique discursive, les films et autres produits audiovisuels et leur traduction jouent effectivement un rôle important dans l'articulation de concepts culturels, comme, par exemple, la féminité, la masculinité et l'altérité (Díaz Cintas 281). Un cas de figure intéressant en traduction audiovisuelle est le film québécois Léolo, qui constitue l'un des rares exemples où un produit cinématographique est adapté vers l'anglais - donc, d'une communauté périphérique vers une culture dominante. Cet article analyse le rôle de la voix-over dans Léolo et son doublage en version anglaise et propose une interprétation idéologique de l'adaptation en tenant compte de son contexte sociopolitique. La notion de voix-over telle que conceptualisée en études cinématographiques ainsi que quelques précisions terminologiques sur cette même notion en traductologie mènent ainsi à une analyse idéologique et culturelle de l'accent en traduction audiovisuelle. Cet article suggère que la traduction, au lieu de construire des ponts entre les cultures, sert parfois de frontière entre celles-ci. En effet, un contexte sociopolitique donné a d'importants impacts, directs ou indirects, sur les choix et stratégies de traduction de produits culturels. Dans le cas précis de Léolo, cet article conclue que la traduction joue un rôle dans la construction d'identités distinctes et dans la formation d'une frontière entre ces dernières. Translated movies can say a lot about the relationships between two cultures, which makes audiovisual translation a fascinating area of research in Translation Studies. As Jorge Díaz Cintas puts it, «[a]s a site of discursive practice, audiovisual media and its translation play a special role in the articulation of cultural concepts such as femeninity, masculinity and Otherness, among others.» (Díaz Cintas 281) One interesting case study is the movie Léolo, from Québec, which is one of the few movies that was translated into English - that is, from a peripheral community to a dominant culture. This paper analyses the role of voice-over in Léolo as well as its dubbing in English, and suggests an ideological interpretation of its adaptation, considering its sociopolitical context. The notion of voice-over, as studied in Film Studies, as well as some clarification about the terminological vagueness surrounding that same notion in Translation Studies bring us to a cultural and ideological analysis of the accent in audiovisual translation. This article argues that instead of building bridges between cultures, translation can sometimes serve as a boundary between them. A given sociopolitical context certainly has important repercussions, direct or indirect, on the choices and decisions made in the process of translating cultural products such as movies. In the case of Léolo, this paper highlights the role of translation in the articulation of separate identities and in the construction of a boundary between them.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.073
Threshold uncertainty score0.145

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.019
Scholarly communication0.0090.005
Open science0.0010.002
Research integrity0.0010.002
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 head0.026
GPT teacher head0.301
Teacher spread0.275 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2014
Admission routes3
Has abstractyes

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