Bibliographic record
Abstract
The 46th Leipzig International Festival for Documentary and Animation Films (14-19 October 2003) - the tenth under retiring festival director Fred Gehler - went down in the books as one of the best so far as politically relevant programming was concerned. Rithy Panh's S21 - La machine de mort Khmère Rouge (S21 - The Khmer Rouge Killing Machine, France) was awarded both the Golden Dove for Best Long Documentary by the International Jury and the FIPRESCI Prize by the International Critics. First seen at Cannes in the Official Program as a Special Screening, S21 is currently making the rounds of key international film festivals - after Leipzig it was booked for the Viennale and the London Film Festival. Running at 100 minutes, its plodding pace demands the complete attention of the viewer and makes for a quite horrifying experience as the story unfolds. S21 refers to the site of 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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.517 | 0.386 |
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".