Bibliographic record
Abstract
Explores the intermedial poetics of the post-communist cinemas of Eastern Europe and Russia Provides in-depth and comparative analyses of films, with case studies covering fiction films, documentaries, avant-garde experiments, arthouse movies and mainstream cinema Cinematic case studies are drawn from Romania, Hungary, Poland, the Czech Republic, Bosnia and Herzegovina and Russia Discusses different strategies of intermediality and covers the analysis of a wide range of intermedial and inter-art phenomena, including the relationship between film and painting, film and sculpture, film and photography, cinema and the graphic novel, words and images and images and music This collection of essays explores intermediality as a new perspective in the interpretation of the cinemas that have emerged after the collapse of the former Eastern bloc. As an aesthetic based on a productive interaction of media and highlighting cinema’s relationship with the other arts, intermediality always implies a state of in-betweenness which is capable of registering tensions and ambivalences that go beyond the realm of media. The comparative analyses of films from Hungary, Romania, Poland, the Czech Republic, Bosnia and Herzegovina and Russia demonstrate that intermediality can be employed in this way as a form of introspection dealing with complex issues of art and society. Appearing in a variety of sensuous or intellectual modes, intermediality can become an effective poetic strategy to communicate how the cultures of the region are caught in-between East and West, past and present, emotional turmoil and more detached self-awareness. The diverse theoretical approaches that unravel this in-betweenness contribute to the understanding of intermedial phenomena in contemporary cinema as a whole. Contributors Melinda Blos-Jáni, Sapientia Hungarian University of Transylvania Malgorzata Bugaj, University of Stirling and the University of Edinburgh Fátima Chinita, Lisbon Polytechnic Institute Zsolt Gyenge, Moholy-Nagy University of Art and Design Hajnal Király, Eötvös Loránd University Bence Kránicz, Eötvös Loránd University Gabriel Laverdière, from Laval University, Quebec Ágnes Pethő, Sapientia Hungarian University of Transylvania Judit Pieldner, Sapientia Hungarian University of Transylvania Katalin Sándor, Babeș–Bolyai University Mareike Sera, Humboldt University of Berlin
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.011 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".