MétaCan
Menu
Back to cohort
Record W2041279614 · doi:10.1017/s0143814x08000780

The Making of the European Energy Market: The Interplay of Governance and Government

2007· article· en· W2041279614 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

VenueJournal of Public Policy · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Union Policy and Governance
Canadian institutionsYork University
Fundersnot available
KeywordsCorporate governanceBusinessGovernment (linguistics)LegislationLiberalizationShadow (psychology)Multi-level governanceCommissionLegitimacyCompetition (biology)Economic systemEconomicsPublic administrationIndustrial organizationPublic economicsMarket economyPoliticsPolitical scienceFinanceLaw

Abstract

fetched live from OpenAlex

ABSTRACT This case study asks whether delegated, sectoral governance by private actors and arm’s-length agencies enhances policy efficacy or does sectoral governance require a shadow of hierarchy cast by government actors to deliver desired policy results? EU energy market liberalisation shows that sectoral governance successfully mobilises regulatory expertise, capacity and legitimacy and delivers workable norms and rules for market transactions in a complex policy environment. However, it also finds that the efficacy of sectoral governance mechanisms is constrained by distributive conflicts between different national jurisdictions and sector interests. If deadlock occurs, the European Commission as governmental principal casts a double shadow of hierarchy over sectoral governance agents: the threat of further legislation and of EU competition law. While both instruments enhance policy efficacy, they cannot substitute for the intrinsic rule-making qualities of sectoral governance: governance and government play complementary roles in the policy 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)0.007
metaresearch head score (Gemma)0.003
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 score0.937
Threshold uncertainty score0.325

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
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 head0.016
GPT teacher head0.298
Teacher spread0.283 · 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