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Record W2401315427 · doi:10.7202/1039221ar

Communicative Rituals and Audiovisual Translation – Representation of Otherness in Film Subtitles

2017· article· en· W2401315427 on OpenAlexvenueno aff
Marie-Noëlle Guillot

Bibliographic record

VenueMeta Journal des traducteurs · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicTranslation Studies and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsPragmaticsLinguisticsPerspective (graphical)Representation (politics)Style (visual arts)PsychologyMode (computer interface)Translation studiesSociologyComputer scienceArtLiteraturePhilosophyArtificial intelligence

Abstract

fetched live from OpenAlex

In a contrastive study of front door rituals between friends in Australia and France (Béal and Traverso 2010), the interactional practices observed in the corpus collected are shown to exhibit distinctive verbal and non-verbal features, despite similarities. The recurrence of these features is interpreted as evidence of a link between conversational style and underlying cultural values. Like contrastive work in cross-cultural pragmatics more generally, this conclusion raises questions of representation from an audiovisual and audiovisual translation perspective: how are standard conversational routines depicted in film dialogues and in their translation in subtitling or dubbing? What are the implications of these textual representations for audiences? These questions serve as platform for the case study in this article, of greetings and other communicative rituals in a dataset of two French and one Spanish contemporary films and their subtitles in English. They are addressed from an interactional cross-cultural pragmatics perspective and draw on Fowler’s Theory of Mode (1991, 2000) to assess subtitles’ potential to mean cross-culturally as text.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.830
Threshold uncertainty score0.459

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 studies0.0010.001
Scholarly communication0.0000.001
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 head0.203
GPT teacher head0.366
Teacher spread0.163 · 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.

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

Citations19
Published2017
Admission routes1
Has abstractyes

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