Veto power and power-sharing: insights from Burundi (2000–2018)
Bibliographic record
Abstract
Veto power is a key institutional pillar of consociational power-sharing. However, the literature is divided on its impact for institutional functionality. While the founding father of consociational theory, Arend Lijphart, expects veto rights to be exercised sparingly by segmental elites, more recent scholarship emphasizes the need for restrictions (in terms of veto players, veto issues, veto points and procedure) in order to avoid abusive and disruptive veto practice. Burundi’s transition from ethnic conflict to ethnic pacification was strongly based on the use of military and political power-sharing, including consociationalism. This article examines the design of veto rights and their practice in Burundi over the past two decades. The analysis confirms that the institutional design of veto power matters, but it counters the hypothesis that a too enabling veto design induces the abuse of veto rights and disrupts consociational functionality. The Burundi case-study shows that the impact and “shelf-life” of veto rights are best understood by taking into consideration the intersection of veto power with other power-sharing institutions and practices, both formal and informal.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.013 | 0.006 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".