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Record W2009674592 · doi:10.1111/1475-6765.00527

Policy horizons in West European parliamentary systems

2000· article· en· W2009674592 on OpenAlexaff
Paul Warwick

Bibliographic record

VenueEuropean Journal of Political Research · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicElectoral Systems and Political Participation
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsCompromiseOrder (exchange)EconomicsGovernment (linguistics)New horizonsSpace (punctuation)VotingMathematical economicsPolitical sciencePoliticsComputer scienceLawFinance

Abstract

fetched live from OpenAlex

Abstract This paper investigates the hypothesis that coalition behaviour in West European parliamentary systems is conditioned by the existence of ‘policy horizons’ that delimit the extent to which parties can compromise on policy positions in order to participate in government. The first part of the paper demonstrates that policy horizons are implied by certain conceptions of party utility and that their existence would entail important constraints on the coalition game; in particular, they would produce equilibrium outcomes in some situations where voting cycles would normally be expected and they would tend to confine possible outcomes to central locations in the policy space in the absence of equilibria. The paper then develops a method of estimating policy horizons empirically in order to show that they account to a substantial extent for both the size and party composition of governing coalitions in these systems.

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)0.005
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.024
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0030.003
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.142
GPT teacher head0.451
Teacher spread0.309 · 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 designObservational
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

Citations34
Published2000
Admission routes1
Has abstractyes

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