Bibliographic record
Abstract
BANGKOK INTERNATIONAL FILM FESTIVAL 2003 Last October, festival founder Brian Bennett attempted to mount what should have been the festival's 5th edition but this was not to be due to lack of funds. This year's edition has been taken over by main sponsor and organiser, the Tourism Authority of Thailand (TAT), and was simply called the 2003 Bangkok International Film Festival (10-21 January 2003). Interestingly, the presidency of the BKKIFF went to the governor of the cash-rich TAT, Juthamas Siriwan. Patrick de Bokay served as the festival's executive director and Kriengsak "Vic" Silakong, the festival's programme director. The country's number one English daily, The Nation, handled the festival operations. The declared aim of the organisers was to establish their first BKKIFF as a regional and international hub for film buffs as well as for potential film investors and those in the film trade. Its other equally important objective was...
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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 | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.450 | 0.231 |
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".