Bibliographic record
Abstract
WITH THE WORDS "TOWARDS TOLERANCE" prominently displayed on the front cover of the catalogue for the 53rd Berlinale (6-16 February 2003), accompanied by an appropriate essay by festival director Dieter Kosslick on the Berlinale contributing to "a greater understanding between cultures," the impending Iraqi war hung over the heads of the international jury like a Damocles sword. So the jury, headed by Canadian-Armenian director Atom Egoyan, appropriately awarded the Golden Bear to Michael Winterbottom's In This World (UK), a fiction-documentary about two young Afghans leaving a refugee camp in Peshawar to embark on an arduous journey along the ancient Silk Road - from Pakistan through Iran and Turkey to Istanbul and eventually London. That the film was shot with a digital camera (Marcel Zyskind) on actual locations adds to the immediacy of the journey, but it's the sound recording (Stuart Wilson) that sends some chills up your spine when...
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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 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.594 | 0.543 |
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".