Repatriation of overseas Chinese stars in post-1997 Hong Kong cinema: Daniel Wu, a case study
Bibliographic record
Abstract
ABSTRACTThis article studies Asian actors from North America and their response to the recent repatriation of overseas Chinese in post-1997 Hong Kong. The focus is on the casting, characterization and shifting star persona of the Asian American action star Daniel Wu. Although Wu is an American of mainland Chinese descent, he was initially marketed as an overseas Chinese actor and return migrant to Hong Kong. Over the course of his career, he became increasingly localized and subsequently integrated into ge-ying-shi (music-film-TV)—the intermedial star system of Hong Kong—through his increased proficiency in Cantonese, award-winning performances in high-profile action films and transnational promotion of the local (popular) culture of Hong Kong. This paper argues that there is a shift in Wu's star persona from an ideal returnee—i.e. a young overseas Chinese actor and sex symbol—to a mature, local(ized) and marquee star of the action cinema. The changes in Wu's representation arguably serve as a model for t...
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.004 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".