MétaCan
Menu
← Back to cohort

Building a Single Market with No Single Regulator

2021· book-chapter· en· W4206978509 on OpenAlexaboutno aff
Jean‐Michel Glachant

Bibliographic record

VenueOxford University Press eBooks · 2021
Typebook-chapter
Languageen
FieldEnergy
TopicGlobal Energy Security and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsSingle marketEuropean unionLegislatureMatching (statistics)Statutory lawBusinessToolboxElectricityElectricity marketProcess (computing)Market economyInternational tradeIndustrial organizationInternational economicsEconomicsPolitical scienceEngineeringLawComputer science

Abstract

fetched live from OpenAlex

Abstract The European Union is the only large multi-country entity having built an open internal electricity market at a continental scale. Large single countries such as Canada and the United States have not done so. This is not an accident, as the building of an open electricity market is demanding and cannot emerge spontaneously from traditional market players. Another reason it was not easy to create such a market is that the European Union has only weak regulatory powers and typically lacks the strong federal agencies characteristic of the United States. The EU case is that of a long-term (from 1996 to 2019) step-by-step process, including successive layers of legislative acts without strong regulatory frames but a very dynamic toolbox mixing voluntary and statutory involvement of many stakeholders, plus a progressive mutualization of the relevant national bodies. Only beginning in 2020 did the legal frame and the regulatory agreements start fully matching.

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)0.006
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.029
Threshold uncertainty score0.095

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.008
Scholarly communication0.0110.018
Open science0.0020.008
Research integrity0.0060.007
Insufficient payload (model declined to judge)0.0290.009

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 head0.017
GPT teacher head0.186
Teacher spread0.169 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueOxford University Press eBooks→Same topicGlobal Energy Security and Policy→French-language works237,207→