Bibliographic record
Abstract
BERLINALE (2009) Festival PoliticsAsked whether the Berlinale has fostered an image as a "political" film festival, Christoph Schlingensief, the German jury member at the 59th Berlin International Film Festival (5-15 February 2009), blurted out: "A competition entry here scarcely stands a chance otherwise." Schlingensief, a highly motivated political filmmaker in his own right, hit the nail right on the head. You only have to look back at the past Golden Bear winners. In 2007, the Grand Prix went to Wang Quan'an's fiction-documentary Tu ya de hun shi (Tuya's Marriage, China). Set in rural Mongolia, Tuya's Marriage mirrored the plight of nomadic shepherds whose way of life is threatened by the government's misguided plans to move them to urban shelters. In 2008, it was awarded to José Padilha's Tropa de elite (The Elite Squad, Brazil). Set in 1997, when the Pope announced his visit to Brazil, that news triggered...
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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) | 0.638 | 0.416 |
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".