Audesc: Translating Images into Words for Spanish Visually Impaired People
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
Although audiovisual translation is a relatively new field within Translation Studies, it is widening its perspectives to recent areas. Some of them are particularly concerned with minority groups, such as sensory impaired people. Specifically, the blind and visually impaired constitute an unexplored group. In this paper we introduce the system of “audio description,” which translates images into words to make audiovisual products accessible to this special-needs social sector. Since not much literature on the topic is available, we will provide the background and some general procedures for this type of intersemiotic translation. However, our greatest interest will be Audesc , the Spanish audio descriptive project developed by ONCE (the Spanish Organisation for the Blind), mainly applied to the cinema and the theatre. Finally, our paper hints at attaching the audio describer’s role to the audiovisual translator’s.
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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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