Cinema of Rupture: Urbicide, Eastern European Rubble Films, and the Documentary Impulse
Bibliographic record
Abstract
Abstract Currently in Ukraine, and previously in conflicts such as the Bosnian War (1992–96), local film collectives have expanded the mediation of wars to include the perspectives of those close to their subjects, foregrounding the participation of filmmakers in the wartime urban setting. In the 1990s, during the four‐year‐long siege of Bosnia’s capital, the collective Sarajevo Group of Artists (SAGA) produced sixty films of varying lengths, many of which included footage of destroyed buildings. Since 2014, several Ukrainian video projects and collectives, including Babylon’13, Freefilmers, War Against War, and Thickets (Khashchi), have made films documenting various aspects of the Russian invasion of Ukraine. Although there is no evidence of direct influence, structural and contextual similarities make SAGA an important earlier model for Ukrainian collectives of local filmmakers determined to define the consequences and experiences of war from the perspective of those with personal stakes in the conflict. This essay comparatively examines the creative wartime documentaries of Bosnian and Ukrainian film collectives specifically to consider how filmmakers with close personal connections to conflicts produce documentary representations of wartime destruction
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".