Bibliographic record
Abstract
In the opening sequence of Wei Te-sheng's Cape No. 7 (Hai Jiao Qi Hao) (2008), the lead character Aga smashes a guitar against a lamppost while shouting 'Fuck you Taipei.'He then leaves the city on his motorbike and turning his back on the metropolis, heads down Highway Number One toward the southern county of Pingtung.This is a brief moment of populist politics in the film, and Aga's rejection of a 'false' Taipei identity in favour of a more 'true' local identity relates to contemporary Taiwan's contested political identity.The People's Republic of China, which officially considers Taiwan a province of the mainland, insists that the world deny Taiwan independent nation status in international venues, considering Taiwan as encompassed by China under a 'One China, Two Systems' policy.In Cape No. 7, Aga's cry becomes a means of denying that reductive imago of Taipei as province of China/Taipei as representative of all Taiwan.By translocating its story to Pingtung's ethnically diverse and linguistically polyglot local communities, the film articulates a comprehensive and encompassing conception of Taiwan that is posed in opposition to Mandarin speaking 'Chinese Taipei'.The film promotes a Taiwanese identity that consists of a diversity of political and cultural forms: Han Chinese as well as Hokklo, Hakka, aboriginal and immigrant.This paper explores the search for 'the local' in contemporary Taiwanese populist cinema.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".