Bibliographic record
Abstract
PUCHON INTERNATIONAL FANTASTIC FILM FESTIVAL 2008 Asked by by a Korean colleague if I would be willing to serve on the international jury for the 12th Puchon International Fantastic Film Festival (7–18 July 2008) – "PiFan" for short – I responded that I wasn't quite sure what a "fantastic" film is in the first place. Not a problem, he said, for he had heard that grouse often enough before. As it turned out, when I arrived at this bustling satellite city on the outskirts of Seoul (now known officially as Bucheon instead of Puchon), there, above a prominent "PiFan" logo, was a banner that highlighted "Love, Fantasy and Adventure" as the festival's all-embracing theme. Further, in PiFan's 200-page catalogue you could find concisely penned film notes that underscored the fantastic elements in 215 films from 39 countries, including 17 world premieres and 15 international premieres. Indeed, there is –...
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.361 | 0.081 |
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".