Bibliographic record
Abstract
The book explores how Chinese TV series and Asian Diaspora fiction are consumed, experienced, and adapted by and for audiences worldwide, particularly those of the Chinese diaspora. It focuses or ‘zooms in’ on well-known exceptional Chinese TV series such as Reset and The Bad Kids and ‘zooms-out’ to explore a wider panorama of lesser-known TV dramas and films. It also explores Asian American representations of ‘bespoke immigrants’, the Nobelist Kazuo Ishiguro and other ‘1.5-generation novelists’, a Canadian missionary’s memoir, a Taiwanese Canadian young adult fantasy author, among others. Through the analysis of this material, it reveals how some Asian American writers are themselves liable to portraying stereotypes of Asian immigrant communities, reinforcing familiar tropes of the white gaze. It also features an insightful analysis of Taiwan’s films and culture, highlighting how Taiwanese identity is represented and moreover shaped by cross-strait tensions. Exploring a diversity of content and media consumption, this book will appeal to students and scholars of media studies, Cultural studies, Chinese studies and Asian studies.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
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".