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Record W7164105478

Why Northern Ireland's Institutions Need Stability

2015· article· W7164105478 on OpenAlexaff
John McCrudden, John McGarry, Brendan O'Leary, Alex Schwartz

Bibliographic record

VenueeYLS (Yale Law School) · 2015
Typearticle
Language
FieldSocial Sciences
TopicIrish and British Studies
Canadian institutionsQueen's University
Fundersnot available
KeywordsOpposition (politics)PoliticsGeneral interestPolitical systemExecutive branchElectoral system
DOInot available

Abstract

fetched live from OpenAlex

Northern Ireland’s consociational institutions were reviewed by a committee of its Assembly in 2012-13. The arguments of both critics and exponents of the arrangements are of general interest to scholars of comparative politics, powersharing and constitutional design. The authors of this article review the debates and evidence on the d’Hondt rule of executive formation, political designation, the likely impact of changing district magnitudes for assembly elections, and existing patterns of opposition and accountability. They evaluate the scholarly, political and legal literature before commending the merits of maintaining the existing system, including the rules under which the system might be modified in future.

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)0.011
metaresearch head score (Gemma)0.029
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.153
Threshold uncertainty score0.305

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.029
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0060.018
Scholarly communication0.0180.009
Open science0.0020.006
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0140.002

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 head0.043
GPT teacher head0.289
Teacher spread0.246 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations0
Published2015
Admission routes1
Has abstractyes

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