Orality Markers in Spanish Native and Dubbed Sitcoms: Pretended Spontaneity and Prefabricated Orality
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
This article reflects on the divergences between translated and non-translated texts, and the specificities of fictional dialogue in audiovisual texts. Research suggests that audiovisual dialogue consists of a combination of linguistic features used in speech and writing, and that both translators and scriptwriters should aim to achieve a balance of these features to create spontaneous-sounding dialogues. Working with an audiovisual corpus of domestic and dubbed sitcoms in Spanish ( Siete Vidas and Friends respectively), the purpose of this article is to provide an overview of how Spanish dialogues are shaped from a linguistic point of view across all language levels, highlighting the trends identified in their production and their translation in order to compare them. The results reveal the complex relationship established between speech and writing in audiovisual texts, and disclose the resources used by translators and scriptwriters to carefully plan dialogues which sound credible. Findings also suggest that domestic audiovisual texts bear more resemblance to spontaneous conversation than dubbed texts.
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 | 0.002 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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