Subtitling Cross-Cultures: Unveiling Audience Reactions to the Subtitling of the Iraqi Action Movie "Mosul" into English
Bibliographic record
Abstract
This study scrutinizes how the viewers reacted to the Iraqi Action Movie "Mosul," subtitled into English. The study designed a questionnaire of 22 items and disseminated it to undergraduate and postgraduate students who are specialists in English Language and Translation studies at three Iraqi Universities. They were asked to watch the subtitled version of the Iraqi dialect movie Mosul. They responded to a 21-item questionnaire of five constructs, mainly movie-watching habits, Iraqi vernacular, technical aspects, Comprehensibility, attitudes, and future recommendations. The analysis revealed that the participants responded positively to the interlingual subtitling of Iraqi vernacular action movies into English. The study analysis showed statistically significant evidence that people prefer to watch Iraqi movies subtitled interlingually into English than those subtitled interlingually in Modern Standard Arabic.
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How this classification was reachedexpand
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 | 0.002 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".