Reversed Subtitling and Extensive Reading: The Case of English-Subtitled Mandarin Dramas
Bibliographic record
Abstract
The binge-watching phenomenon on college campuses in Taiwan inspired this study. The researcher often overhears her students chatting about which Mandarin TV series they have been binge-watching recently. Given this drama fever, which may provide an impetus for sustained reading of on-screen text, the researcher is concerned with English vocabulary growth if the viewing habit shifts from Mandarin to English subtitles. A corpus of over 5.6 million English-subtitled words from 37 Mandarin dramas was compiled, totaling 1,238 episodes. The operational measures involved the ranked twenty-five 1000-word-family lists along the British National Corpus and the Corpus of Contemporary American English word-frequency scale. Results show that Mandarin drama English subtitles reached the 2000–3000 word-family levels at 95% text coverage and extended to the 4000–5000 levels at 98% coverage subject to genres. EFL Mandarin drama fans may encounter most words from each of the 1st to 6th 1000-word-family lists twelve times or more for potential learning by continually watching up to 24 English-subtitled Mandarin dramas. Moreover, twenty participants expressed their views on watching English-subtitled Mandarin dramas to a certain level of agreement. For extensive reading practitioners, the results may be a reference concerning what vocabulary level EFL learners may attain if they binge-watch English-subtitled Mandarin dramas in their leisure time.
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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 | 0.000 | 0.001 |
| 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 | 0.000 |
| 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 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".