Bibliographic record
Abstract
ISTANBUL INTERNATIONAL FILM FESTIVAL Istanbul International Film Festival (31 March-15 April 2007) celebrated its 26th birthday this spring with more than 200 films from around the world. This year, for the first time in its history, the festival opened with a film by a Turkish director, Ferzan Özpetek although the Italian production Saturn Opposite about depressed 40-year olds nostalgic about their youth, featuring some of the well-known actors of Italy could hardly be considered a Turkish film. The closing film was the US production, The Good German by Steven Soderbergh featuring George Clooney and Cate Blanchett. The films that compete for the Golden Tulip award are chosen for their relation to art and the artist or are adaptations from literary works. The fact that Istanbul takes place shortly before Cannes makes it rather difficult to find quality films for the International Competition, which had not been previously screened elsewhere....
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.331 | 0.184 |
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".