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Record W2218469415 · doi:10.1093/jwelb/jwv039

A case of: who will tell the emperor he has no clothes?—market liberalization, regulatory capture and the need for further improved electricity market unbundling through a fourth energy package

2015· article· en· W2218469415 on OpenAlexaff
Eva Barrett

Bibliographic record

VenueThe Journal of World Energy Law & Business · 2015
Typearticle
Languageen
FieldEnergy
TopicGlobal Energy Security and Policy
Canadian institutionsTrinity College
Fundersnot available
KeywordsUnbundlingEuropean unionBusinessLiberalizationEnergy marketIndustrial organizationEnforcementCommissionSingle marketCommerceElectricityMarket economyInternational tradeEconomicsFinanceLawPolitical science

Abstract

fetched live from OpenAlex

On 25 February 2015, the European Commission published a Communication on its vision of an Energy Union as, amongst other things ‘an integrated continent wide energy system where energy flows freely across borders based on competition and the best possible use of resources and with effective regulation of energy markets at EU level where necessary’. The Communication listed the actions necessary to deliver this Energy Union in a list which was as interesting for what was not included as for what was. While full implementation and enforcement of existing energy and related law (and particularly the third energy package) was listed as the first priority of the Union, there was no mention of the need for further market unbundling or a fourth energy package. This position is worrying. Through an inadequate implementation of poorly designed market structures, the EU has created national markets which are hotbeds for consumer-damaging market manipulation and abuse. Consequently, there is a pressing need for further market unbundling and a fourth energy package. Not only will such measures be essential to the successful creation of an Energy Union and the realization of the benefits expected from market liberalization, they are urgently needed to remove existing market structures, which are facilitating consumer-damaging anticompetitive behaviours by making such behaviours virtually impossible to detect and punish.

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 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)0.000
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 score0.884
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
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 head0.015
GPT teacher head0.221
Teacher spread0.206 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations3
Published2015
Admission routes1
Has abstractyes

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