Bibliographic record
Abstract
49th LEIPZIG INTERNATIONAL FESTIVAL FOR DOCUMENTARY AND ANIMATION FILMS Under visionary Claas Danielson, now in his third year as festival director and aided by an equally energetic team, the 49th Leipzig International Festival for Documentary and Animation Films (30 October- 05 November 2006), aka Dok Festival & Dok Industry for visiting professionals, broke its previous statistical record once more. From 2,400 submissions, the festival booked just over 400 films from 50 countries, the total evenly divided between documentary and animation entries. Altogether, that amounts to 19,230 minutes viewing time, or 13 days, 8 hours, and 30 minutes in one sitting. This year's attendance climbed to 22,500, up from 20,000 in 2005. A total of Euro 53,500 was handed out to award winners in various categories. Among the 259 events (including social events, reruns, and industry specials) was one key day that signalled a new direction for the festival. On...
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.575 | 0.441 |
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".