Translationstheoretische und -praktische Aspekte der intralingualen Theaterübertitelung
Bibliographic record
Abstract
The present chapter focuses on theatre surtitling for an audience who are d/Deaf or hard of hearing (TSDH) in a German-speaking context. This form of translation can be defined as an intralingual, intersemiotic, partial, additive, two-phased translation. Based on two examples from practice, specific translational challenges will be described in detail. Challenges such as improvisation and speaker identification are discussed by drawing on approaches from studies on SDH and interlingual theatre surtitling. Other aspects, such as the translation of music/sound into surtitles, albeit related to SDH as well, hold challenges that are specific to the semiotics of theatre and, therefore, to TSDH. With TSDH being a new research area and practice in the German-speaking context, many research questions remain to be answered. There is a need for appropriate TSDH standards, which can only be developed by involving the main target group, not only in practice but also in further research.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.008 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.016 | 0.004 |
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".