Bibliographic record
Abstract
51st LEIPZIG INTERNATIONAL FESTIVAL FOR DOCUMENTARY AND ANIMATION FILMS Leipzig DOK PortfolioOne glance at the portfolio of the 51st Leipzig International Festival for Documentary and Animation Films (27 October to 2 November 2008) - aka DOK Leipzig - is mind-boggling! Even the most experienced festivalier would find it difficult to assimilate more than 320 films from 50 countries, all programmed within the short span of six days! The 2008 festival catalogue, running over 300 pages, offers not just synopses but also perceptive critiques of competing documentary entries in both German and English. Also, on the monetary side, purses totalling €56,500 were offered to the winners in four official Competitions: International Documentary, German Documentary, Animation, and the brand new Generation DOK (Young Talent Competition). Further, should a documentary enthusiast miss a key film due to overlaps in the programming schedule, he need only visit the Digital DOK Market in the...
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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 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.651 | 0.515 |
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".