Bibliographic record
Abstract
TAIWANESE FILMMAKERS WANG SHAUDI AND HUANG LIMING IN CONVERSATION WITH KINEMA After studying theatre in the United States, Wang Shaudi returned to Taiwan to a prolific career in television, directing many hours of TV drama and documentaries, and producing plays before making her first feature film Accidental legend (1996) followed by Yours and Mine (1997). Scriptwriter and producer Huang Liming studied journalism in Taiwan and the United States. She started writing for television sixteen years ago, penning stories for Shaudi's TV dramas. They are currently filming a 20-hour drama special for the fifth anniversary of Taiwan's Public Television Service in 2003. KINEMA spoke to the filmmakers about their first animated feature Grandma and her Ghosts (1998) which was screened at the 2002 Far East Film festival in Udine, Italy. KINEMA: What do you think of the general situation of animation production in Taiwan?Liming: The first university animation...
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.024 | 0.002 |
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".