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Record W2944935553 · doi:10.1080/13510347.2019.1611781

Veto power and power-sharing: insights from Burundi (2000–2018)

2019· article· en· W2944935553 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueDemocratization · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Conflict and Governance
Canadian institutionsBrandon University
Fundersnot available
KeywordsVetoPower (physics)Power sharingScholarshipPolitical scienceLaw and economicsLawPoliticsSociology

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.794
Threshold uncertainty score0.709

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.012
GPT teacher head0.263
Teacher spread0.250 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it