Bibliographic record
Abstract
ISTANBUL INTERNATIONAL FILM FESTIVAL 2005 24th Istanbul Film Festival (April 2-17, 2005), which can be defined as a Festival of Festivals carried the usual format that has had positive audience response over the years with minor adjustments. The International Competition was comprised of films carrying the themes of arts and artist or were literary adaptations. Among the thirteen that competed for the Golden Tulip, Kôhî Jikô (Café Lumière, 2004) by Hou Hsiao-hsien; Lila Dit Ca (Lila Says Yes) from France directed by Lebanese Ziad Doueiri (a follow-up to his successful debut, West Beirut); from Canada, Childstar (2004) by Don McKellar and Turkish director Erden Kiral's Yolda (On the Way, 2004) about Guney's last days in prisons drew attention. The Galas, defined by the festival as the most crowd pleasing films included Woody Allen's Melinda and Melinda, Wong Kar Wai's 2046 and Mike Leigh's Vera Drake. Buster Keaton's 1927 film...
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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 | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.286 | 0.138 |
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".