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Record W2293579353

Legal aspects of electricity tariff fixation in Germany

2004· article· en· W2293579353 on OpenAlexaboutno aff
Thomas Schomerus

Bibliographic record

VenueSouthampton Solent University Digital Library · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicDigitalization, Law, and Regulation
Canadian institutionsnot available
Fundersnot available
KeywordsTariffElectricityGermanCabinet (room)Quarter (Canadian coin)LegislatureBusinessEconomicsEconomyEconomic policyMarket economyCommerceInternational tradeEngineeringPolitical scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

German and Italian electricity tariffs are the highest in Europe? A United Kingdom (UK) consumer pays roughly a quarter less than in Germany. A medium-sized industrial company in Germany, for instance, would pay 7.5 cents per kilowatt-hour, while a similar company in Great Britain would pay only 5.5 cents. The average costs in Germany for a private household are 18 cents per kilowatt-hour. According to the consumer protection organization Association of Energy Consumers (Bund der Energieverbraucher) each average household pays about 100 € per year too much for electricity. 5 At the moment, large energy suppliers are planning a price-increase of more than 5%. German politicians and industrialists are aware that the inflated prices are detrimental to economic development which is already suffering from an ongoing structural crisis. For this reason, Wolfgang Clement, German Minister of Economy and Labour, submitted a draft for an amendment to the Energy Industry Act (Energiewirtschajtsgesetz EnWG), which was passed by the Federal Cabinet on 28-7-04 and is now being processed for enactment in legislative procedure. The aim is the creation of a legal framework for

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)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.063
Threshold uncertainty score0.126

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.013
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0050.007
Scholarly communication0.0090.004
Open science0.0020.003
Research integrity0.0100.004
Insufficient payload (model declined to judge)0.0050.001

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 head0.007
GPT teacher head0.196
Teacher spread0.190 · 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 designTheoretical or conceptual
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
Published2004
Admission routes1
Has abstractyes

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