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Experimentalist governance in the<scp>E</scp>uropean<scp>U</scp>nion: A commentary

2012· article· en· W2163827072 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueRegulation & Governance · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Union Policy and Governance
Canadian institutionsUniversity of Victoria
FundersSocial Sciences and Humanities Research Council of CanadaFreie Universität BerlinEuropean Commission
KeywordsDeliberationLegitimacyCorporate governanceAccountabilityCompetence (human resources)European unionPolitical scienceDemocracyDeliberative democracyLaw and economicsPublic administrationAction (physics)SociologyPublic relationsLawEconomicsManagementPolitics

Abstract

fetched live from OpenAlex

Abstract S abel and Z eitlin's E xperimentalist G overnance offers an insight into E uropean governance in those cases where the EU institutions do not have clear competence and where member states are not prepared to accept a unified policy on a problem at hand. E xperimentalist G overnance identifies four steps of action: agree on common goals, have lower levels propose ways to meet goals, then report on their meeting of goals, and, finally, periodically reevaluate the review procedures. By looking at the developments in EU policymaking through the lens of experimentalist governance ( EG ), one obtains an appreciation of how goals might be achieved that would otherwise not likely have been achieved through the community method. S abel and Z eitlin highlight how EG can be effective in obtaining results, integrating peers, and incorporating deliberation, and offer a different way to deal with accountability and legitimacy. This article closes by taking the next step, namely, asking what challenges EG poses to democratic processes.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.541
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0010.000
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 head0.027
GPT teacher head0.293
Teacher spread0.266 · 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