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Record W3022491623 · doi:10.1111/1468-0491.00229

Formal and Informal Institutions Under Codecision: Continuous Constitution‐Building in Europe

2003· article· en· W3022491623 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

VenueGovernance · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Union Policy and Governance
Canadian institutionsUniversity of Toronto
FundersEuropean Commission
KeywordsParliamentNegotiationTreatyLegislatureConstitutionEuropean unionProcess (computing)Political sciencePublic administrationPolitical economySociologyEconomicsLawPoliticsEconomic policy

Abstract

fetched live from OpenAlex

Current approaches examining the effect of institutions on policy processes have difficulty in explaining the results of the legislative process of codecision between the European Parliament and Council within the European Union. The formal Treaty changes that gave rise to codecision have, in turn, given rise to a plethora of informal institutions, in a process that is difficult to understand using dominant modes of analysis. This article provides a framework for analyzing the relationship between formal and informal institutions, showing how the two may be recursively related. Formal institutional change at a particular moment in time may give rise to informal institutions, which may, in turn, affect the negotiation of future formal institutions. The article applies this framework to the codecision process, showing how the codecision procedure has led to the creation of informal institutions and modes of decision‐making, which have affected subsequent Treaty negotiations. Through strategic use of the relationship between formal and informal institutions, the European Parliament has been successful in advancing its interests over time and increasing its role in the legislative process.

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)0.001
metaresearch head score (Gemma)0.001
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: none
Teacher disagreement score0.990
Threshold uncertainty score0.469

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.034
GPT teacher head0.308
Teacher spread0.274 · 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