Competitive statebuilding from the demand-side: counter-state services and civilian choice in Kosovo, 1989-1998
Bibliographic record
Abstract
Counter-state actors often supply services to foster civilian support. Yet little work explores the civilian ‘demand-side’ of this interaction. This paper examines how civilians navigated between overlapping state and counter-state services during a case of non-violent competitive statebuilding. Between 1989 and 1998, a Kosovar-Albanian ‘parallel state’ provided education, healthcare, and justice as part of a strategy to secede from Serbia. It finds that two factors are key: the level of group solidarity individuals are subject to, and the unique characteristics of the services they are receiving. Increased group solidarity constrains how individuals decide between providers, yet the extent to which this impacts choice depends on the characteristics of different services. Education is collectively delivered and tied to nation-building; decisions depend on social norms. Healthcare is individual and immediate; decisions are rooted in trust. Justice varies between discreet civil cases where people can ‘shop around’, and criminal cases, which can comprise highly visible, collective events with significant social pressure. Understanding how solidarity and service characteristics intersect is key to understanding the demand-side of competitive statebuilding.
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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 | 0.006 | 0.006 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| 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".