Bibliographic record
Abstract
Other first film festivals should have it so good. Every guest arriving from abroad to attend the First Transylvanian International Film Festival (3-9 June 2002) in the Romanian city of Cluj (formerly Klausenburg) asked the same question: "Where's Dracula's castle, and how can I get there?" To which Tudor Giurgiu, the festival's founder-director, responded with an same amused grin: "Stay around until closing night: we're screening Murnau's Nosferatu to musical accompaniment!" Just another way of saying that no less than four castles lay claim to Dracula's hideout. "Probably Bram Stoker meant the castle in Sighisoara (formerly Schässburg)," said one informed source. "Schässburg is a 13th-century museum town, only an hour's drive away."Forget Dracula's castle on your first visit to Cluj-Napoca, inhabited by the Dacians in ancient times and founded by the Romans in the 2nd century. The city with the most moviegoers in Romania, Cluj (formerly part of Austria-Hungary) has academies...
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.027 | 0.003 |
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".