In the Name of the People: Yugoslav Cinema and the Fall of the Yugoslav Dream
Bibliographic record
Abstract
This dissertation outlines the trajectory of Yugoslavias decline through an examination of select works of Yugoslav cinema from the late 1960s to the late 1980s which cogently commented on their sociopolitical context. It brings together various interpretive perspectives and utilizes film studies, cultural studies, political history, and postcolonial studies to discuss how the Yugoslav society and its political system are scrutinized through allegory, satire, and genre revisionism, for instance, and to elucidate what the films contribute to discourse on the origins of Yugoslavias violent breakup. Through a discussion of cinema, arguably the most politically subversive form of expression in the Yugoslav public sphere, this dissertation offers insight not only into why the country broke up but also, and perhaps more importantly, into what was lost when it broke up. Although it revolves around Yugoslavias failure, the dissertation validates the egalitarian, anti-imperialist Yugoslav idea and offers a take on the countrys demise that is free of Balkanist stereotypes and anti-communist paranoia common to most discussions of Yugoslavias end. It counters the view of Yugoslavia as a dictatorship which disintegrated when dormant ethnic antagonisms of its peoples were inexplicably reawakened, and ties the emergence of ethnic nationalism to Yugoslavias economic collapse of the 1970s and 1980s caused by the grasping reach of Western economic liberalism.
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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 | 0.007 | 0.007 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".