Bibliographic record
Abstract
27th ISTANBUL INTERNATIONAL FILM FESTIVAL Ask festival director Azize Tan why she was using every opportunity available to celebrate the current revival of Turkish cinema at the 27th Istanbul International Film Festival (5-20 April 2008), and she would tick off any number of reasons. Last year, for instance, Orhan Pamuk, the 2006 Nobel Prize Winner for Literature, served on the international jury at Cannes. Further, the Palm for Best Screenplay was awarded to Turkey-born, Germany-based Fatih Akin's Auf der anderen Seite (The Edge of Heaven), a German-Turkish co-production. Also, before this year's IIFF even began, the city was alive with the rumour that Nuri Bilge Ceylan's Uç maymun (Three Monkeys) was likely headed for the Cannes competition - as, indeed, it was. Finally, at the close of the Istanbul festival, the international jury headed by German cinematographer Michael Ballhaus awarded the Golden Tulip to Semih Kaplanolu's Yumurta (Egg), a Turkish-Greek...
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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 | 0.005 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.274 | 0.136 |
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".