Bibliographic record
Abstract
IN THE MOOD FOR LOVE: URBAN ALIENATION IN WONG KAR WAI'S FILMS They say that love can change a man. I start to find myself looking better and more charming, and suddenly I discover that I'm turning blonde. (Qiwu in Fallen Angels) The four films which I am going to discuss are Days of Being Wild (1991), Chungking Express (1994), Fallen Angels (1995), and Happy Together (1997). These four films were directed by Hong Kong director, Wong Kar Wai, who wowed the critics at Cannes 2000 with In the Mood for Love (2000). Wong has been hailed as the definitive Hong Kong arthouse director. His postmodern themes and filming techniques focus mainly on the anxiety within modern urban living. His films do not provide an answer to the anxiety, nor tell the audience how to deal with the anxiety. In a nutshell, Wong's films are about our postmodern human...
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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 | 0.002 |
| Science and technology studies | 0.010 | 0.006 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".