Bibliographic record
Abstract
THE 3rd EDITION OF THE BANGKOK FILM FESTIVAL (BKKFF) took off with 60 feature films and some amazing shorts (local and international) from the 21st to 30th September 2000, now an important cultural event for film lovers. The official trailer shows a roll of 35mm celluloid being stir-fried, eaten and finally defecated with the one-liner "food for film lovers." Unconventional and a little bizarre, this is what the BKKFF is all about -- a well-chosen, eclectic assortment of mostly independently- made films, from countries such as Iran and South Korea to Canada and America, and as many others. The festival programme included the "Golden Elephant Competition Film Section", "International Feature Films Around the World", "Three Best Video Shorts", "Best 35mm Shorts", "Directors in Focus" featuring up-and-coming American independent filmmakers such as Andrew Shea and Matthew Harrison, and Hong Kong's celebrated veteran director Manshih Yonfan with his best "alternative lifestyle"...
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.420 | 0.230 |
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".