Bibliographic record
Abstract
CZECH FILM IN EXILE (ČESKÝ FILM V EXILU). Jiří Voráč. Brno, Host 2004. 192pp, stills, index, English summary. ISBN: 8072941399.In Czech Film In Exile, Jiří Voráč turns to a topic painfully relevant for the cultural history of his country, yet ignored by his compatriot researchers for years. In the stifling times of the pre-1989 Communist dictatorship, the subject of the exile culture was strictly taboo. More surprising was that it continued to be neglected for almost fifteen years after the "velvet revolution" and subsequent democratization. Among the reasons may have been the geographic fragmentation, linguistic diversity and disorganization of the sources which had to be researched in countries on several continents. Another factor may have been a sort of ideological inertia among some of the Czech academic community, which did not seem to consider its own film exile a worthwhile academic subject.For Voráč, a film historian at Brno's Masaryk University,...
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 teacher head, 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".