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Record W3036910312 · doi:10.1080/00344893.2020.1778065

Veto Rights and Vital Interests: Formal and Informal Veto Rules for Minority Representation in Deeply Divided Societies

2020· article· en· W3036910312 on OpenAlexaff
Allison McCulloch, Aleksandra Zdeb

Bibliographic record

VenueRepresentation · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicPost-Soviet Geopolitical Dynamics
Canadian institutionsBrandon University
FundersEconomic and Social Research Council
KeywordsVetoPolitical scienceLegislatureLaw and economicsRepresentation (politics)Argument (complex analysis)PoliticsPositive economicsLawSociologyEconomics

Abstract

fetched live from OpenAlex

In consociational theory, veto rights are a primary means by which ethnic groups defend their vital interests. Yet, the uses and effects of vetoes are variable. Sometimes, the veto is protective, used as a policy of last resort to facilitate inter-group cooperation and community protection. At other times, the veto is a blocking mechanism, used against minority interests or to immobilise the legislative agenda. What accounts for this variation in veto outcomes? In this article, we set out a new framework for assessing veto variability and apply the framework to three consociations – Northern Ireland, Bosnia & Herzegovina, and North Macedonia. We argue that whether a veto trajectory is blocking or protective is contingent on the interplay between three dynamics: formal institutional rules; informal forms of dispute resolution, and; the wider political environment in which these formal and informal rules intersect. Our findings aim to refine extant consociational theory, which has largely under-conceptualised these variations in veto trajectories.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.028
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.028
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0050.022
Scholarly communication0.0080.006
Open science0.0010.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.041
GPT teacher head0.346
Teacher spread0.305 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations17
Published2020
Admission routes1
Has abstractyes

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