Cannibal states, empty bellies: Protest, history and political imagination in post-Dayton Bosnia
Bibliographic record
Abstract
In February 2014, Bosnia-Herzegovina witnessed its largest and most dramatic wave of civic protests since the end of the 1992–1995 war and the signing of Dayton Peace Accords. Confrontations with the police and the destruction of dozens of government buildings subsequently gave way to the formation of plenums – town hall assemblies – where protesters collectively articulated their grievances against the country's corrupt and deeply unpopular political authorities. The plenums emphasized Bosnia's pressing problems of widespread unemployment, rising poverty and corruption, and in so doing sidelined the ossified nationalist rhetoric and identity politics. This article analyzes the main representations of protests, and the sociopolitical and economic pressures that helped usher in this massive public uprising. We demonstrate how protesters sought to break out of the impasses of post-Dayton ethnic politics by actively recuperating and representing alternative visions of participatory politics and popular sovereignty associated with socialist-era imaginaries and embodied in the plenum. We argue that these efforts signal the emergence of a new kind of prefigurative politics that provide alternative practices of political organization, decision-making, and sociability in Bosnia and beyond.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.021 | 0.030 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".