Communicative Rituals and Audiovisual Translation – Representation of Otherness in Film Subtitles
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".