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Record W4225620933 · doi:10.54648/eelr2021024

Private Governance of Electricity Supply to End Users: The Range and Limitations of Unilateral Variation Clauses and Contractual Discretion in Commercial Electricity Supply Contracts

2021· article· en· W4225620933 on OpenAlexaff
Ole Hansen, Hamish George Ritchie

Bibliographic record

VenueEuropean Energy and Environmental Law Review · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicTransport and Economic Policies
Canadian institutionsInstitute on Governance
Fundersnot available
KeywordsDiscretionElectricityCorporate governanceBusinessMains electricityVariation (astronomy)Industrial organizationFinanceLawElectrical engineeringEngineeringPolitical scienceVoltage

Abstract

fetched live from OpenAlex

Within the boundaries set by public regulation, the drive towards liberalized energy markets in Europe has created space for commercial contracts as a governance tool, aiming to align market activity with fundamental notions of public interest. Concurrently, contractual practice from electricity supply markets show suppliers reserve themselves the authority to change terms and conditions for business customers within the contract period. Such clauses challenge basic principles of contract law, potentially leaving business users in a regulative vacuum, where neither administrative nor contract law doctrines can be relied upon to curtail supplier discretion. Despite this, unilateral variation clauses cannot be assumed to entail an unlimited right for electricity suppliers to dictate the content of the end users obligations. This article examines the legal effect of unilateral variation clauses in commercial standard terms for electricity supply in England and Denmark. Based upon the complex regulatory patterns, and the resulting hybrid nature of contractual practices, we show how contractual discretion is restricted by standards of interpretation. These standards emerge from public law, but will also be recognized as governance structures in certain purely commercial settings. Electricity, supply contracts, private governance, variations, authority, discretion, unfairness, interpretation, liberalization

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)0.014
metaresearch head score (Gemma)0.032
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.032
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.022
Scholarly communication0.0080.006
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.185
Teacher spread0.170 · 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
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

Citations0
Published2021
Admission routes1
Has abstractyes

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