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Record W3122080190 · doi:10.1093/restud/rdq030

Executive Control and Legislative Success

2011· article· en· W3122080190 on OpenAlexaff
Daniel Diermeier, Razvan Vlaicu

Bibliographic record

VenueThe Review of Economic Studies · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicElectoral Systems and Political Participation
Canadian institutionsKellogg's (Canada)
Fundersnot available
KeywordsLegislaturePresidential systemGovernment (linguistics)PoliticsEconomicsOddsControl (management)Power (physics)Divided governmentPublic economicsEmpirical evidencePublic administrationPolitical sciencePolitical economyLaw

Abstract

fetched live from OpenAlex

The higher legislative success of parliamentary governments relative to presidential governments has been used to argue that legislative success is driven by parliamentary governments' superior agenda power or their control of legislative majorities. We show that this approach is at odds with some of the empirical regularities across and within political systems. We then propose a legislative bargaining model to elucidate this puzzle. In the model, the policies of a confidence-dependent parliamentary government enjoy more predictable support from governing coalition members because their short-term policy goals are less important than the government's survival. Coalition support is stronger when the government has more agenda power and is weaker with a larger ruling coalition. We explore the empirical implications of these findings and their consequences for the comparative study of legislative institutions.

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)0.021
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.021
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0010.002
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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.

Opus teacher head0.132
GPT teacher head0.402
Teacher spread0.270 · 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

Citations40
Published2011
Admission routes1
Has abstractyes

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