Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
As an emerging form of intermodal translation, audio description (AD) raises many new questions for Translation Studies and related disciplines. This paper will investigate the question of how the coherence of a multimodal source text such as a film can be re-created in audio description. Coherence in film characteristically emerges from links within and across different modes of expression (e.g., links between visual images, image-sound links and image-dialogue links). Audio describing a film is therefore not simply a matter of substituting visual images with verbal descriptions. It involves ‘translating’ some of these links into other appropriate types of links. Against this backdrop, this paper aims to examine the means available for the re-creation of coherence in an audio described version of a film, and the problems arising. To this end, the paper will take a fresh look at coherence, outlining a model of coherence which embraces verbal and multimodal texts and which highlights the important role of both source text author (viz., audio describer as translator) and target text recipients in creating coherence. This model will then be applied to a case study focussing on the re-creation of various types of intramodal and intermodal relations in AD.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it