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Record W2118619504 · doi:10.1177/0010414004268845

Limiting Regional Electricity Sector Integration and Market Reform

2004· article· en· W2118619504 on OpenAlexaffabout
Adrian van den Hoven, Karl Froschauer

Bibliographic record

VenueComparative Political Studies · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Union Policy and Governance
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsElectricityElectricity marketHydroelectricityEconomicsMarket integrationReciprocity (cultural anthropology)Regional integrationEuropean unionDomestic marketLimitingInternational tradeInternational economicsMarket economyEconomic systemBusinessMacroeconomicsSociology

Abstract

fetched live from OpenAlex

Recent decades have witnessed liberal reforms in electricity policy in Western countries and an emerging literature with prominent perspectives on how to analyze such reforms. Some analysts viewWestern countries as replicating the policy models of Britain and the United States, the first nations to adopt liberal reforms; others see European Union and North American Free Trade Agreement countries as subjected to regional electricity sector integration by supranational regional agreements. The authors challenge those views, arguing that national interests have limited domestic electricity market reforms in France and Canada despite their participation in regional electricity market integration projects. By examining surplus-producing acceleration in building nuclear and hydroelectric plants, initiatives to secure export access as part of regional market integration, and the ability to limit the effects of market access reciprocity domestically, this comparative analysis of France and Canada demonstrates that national interests can prevail in the intergovernmental formulation and domestic implementation of electricity policy.

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)0.010
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.021
Threshold uncertainty score0.109

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.025
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0030.009
Scholarly communication0.0090.007
Open science0.0020.011
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0090.001

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 head0.172
GPT teacher head0.397
Teacher spread0.225 · 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 designObservational
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

Citations16
Published2004
Admission routes2
Has abstractyes

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