Bibliographic record
Abstract
The 1990s Yugoslav wars have been viewed as paradigmatic of the post-communist turmoil whose extreme articulation finds fertile ground in the stereotypically bellicose Balkans. If in these discourses the Balkans are a metonymy for the violence of Eastern European post-communist transitions, then Yugoslavia is itself a metonymy for the Balkans. However, films made in the post-Yugoslav space in the last decade move away from processing the trauma of the 1990s wars, and no longer fit neatly within this ‘Balkanist’ discourse. Instead, they turn outward: to the elusive goal of either joining the European Union or being legitimated as ‘European’, as well as to situating the Balkans in the context of global migrancy of labour increasingly knocking at the doors of ‘Fortress Europe’. Želimir Žilnik’s Fortress Europe (2001) and Damjan Kozole’s Spare Parts (2003) show how the Balkans are increasingly deterritorialised as a self-contained discursive and political space as they become a bridge to Europe for non-European and other Eastern European immigrants, a situation that creates possibilities for solidarity with globally disenfranchised multitudes. In turn, Paskaljević’s Honeymoons (2009) establishes possible nodes of intra-Balkan solidarity as it explores the shared tribulations of various Balkan migrants attempting to enter the EU. The films end up subverting the EU motto ‘united in diversity’ by highlighting intersections between its neocolonial immigration practices and the contingent labour demands of neoliberal capitalism.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.006 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".