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Record W2052598475 · doi:10.7202/1003514ar

English into Korean Simultaneous Interpretation of Academy Awards Ceremony Through Open Captions on TV

2011· article· en· W2052598475 on OpenAlexvenueno aff
Tae‐Hyung Lee

Bibliographic record

VenueMeta Journal des traducteurs · 2011
Typearticle
Languageen
FieldHealth Professions
TopicInterpreting and Communication in Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsInterpretation (philosophy)CeremonyHistoryLinguistics

Abstract

fetched live from OpenAlex

This article used video-editing software to explore the temporal aspects of the live coverage of the Academy Awards Ceremonies, which employed simultaneous interpretation (SI) and open Korean captions at the same time. The results showed that the Korean captions appeared 7.24 seconds after the beginning of the original sentences and remained on the screen 7.52 after the end of original. These figures were statistically longer than other live coverage of the same events with SI alone and other TV programs carrying live captions. It was also found that relatively short original sentences were omitted in SI and the long EVS (ear-voice-span) also left the sentences that followed uninterpreted. In spite of the long time lag, questionnaires indicated that viewers preferred SI through open captions to SI alone presumably because they could listen to the original voices of entertainers without being disturbed by the voice-over of SI.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.539
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.168
GPT teacher head0.439
Teacher spread0.271 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations5
Published2011
Admission routes1
Has abstractyes

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