Bibliographic record
Abstract
58th BERLINALE 2008 Box Office BonanzaWill it ever end? During his seven years as Berlinale director, Dieter Kosslick's festival tenure is annually boosted by success at the box office. Following the close of the 58th Berlin International Film Festival (7-17 February 2008), bonanza statistics were promptly released to the press. The 58th Berlinale recorded an overall audience of 430,000, of which some 230,000 purchased tickets, thus exceeding last year's record by more than 6,000. The number of visiting film professionals (exhibitors, sales agents, industry representatives) increased to 20,000 from 125 countries, topping last year's total of 19,155. The number of accredited journalists rose to 4,105. The sum of public screenings also rose to 1,256, compared with 934 screenings in 2007. Only the number of films participating in this year's official programs dipped in comparison to last year - down from 396 to 383 - but even this adjustment...
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.633 | 0.382 |
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".