Bibliographic record
Abstract
SOFIA INTERNATIONAL FILM FESTIVAL 2005 Film festivals in Central and Eastern Europe - "CentEast" in EU parlance - don't get much better than the 10th Sofia International Film Festival (9-19 March 2006) under its charismatic director Stefan "Kita" Kitanov. One glance at the 160-page SIFF catalogue tells most of the story - prominently displayed are circa 80 sponsors and partners. Moreover, these sponsors are said to contribute the lion's share of this year's 250,000 Euro budget, in contrast to reported city and government funding at a meagre 25,000 Euros. Altogether, 160 films (100 features, 30 documentaries, 30 shorts) from circa 40 countries were booked for viewing by an estimated audience of 70,000, that figure apparently including attendance at follow-up events in Plovdiv and Burgas that stretch the SIFF out for another full week. According to an SIFF bulletin, this year's 250 applications for entry in the competition doubled 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) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.539 | 0.399 |
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".