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Record W2161495209 · doi:10.29228/mjes.93

A COMPARISON OF ELECTRICITY INDUSTRY REGULATION AND RESTRUCTURING: GREECE AND TURKEY

2015· article· tr· W2161495209 on OpenAlexaff
Yeşim Reel

Bibliographic record

VenueMarmara Avrupa araştırmaları dergisi/Marmara Üniversitesi Avrupa Araştırmaları Enstitüsü Avrupa araştırmaları dergisi · 2015
Typearticle
Languagetr
FieldEngineering
TopicElectric Power System Optimization
Canadian institutionsHéma-Québec
Fundersnot available
KeywordsRestructuringLegislationTurkishElectricityElectric power industryBusinessPoliticsProcess (computing)Industrial organizationFace (sociological concept)Economic policyMarket economyEconomic systemEconomyEconomicsPolitical scienceFinanceEngineeringComputer science

Abstract

fetched live from OpenAlex

The main aim of this paper is to compare the experience of regulation and restructuring in the Greek and the Turkish electricity industries. For this purpose, a comparison of data on the two industries is employed. A quantitative analysis of the impact of restructuring these two countries’ presented and complemented with an evaluation of relevant legislation, policy changes and regulation scores. The paper shows that the electricity industries in Turkey and Greece have undergone a radical restructuring, but which remains an ongoing process. The main conclusion is that the two industries face number of challenges, and that institutional and political reforms ensuring the smooth functioning of the electricity industries thus need to be enacted. In addition, there is a crucial need for a debate about regulatory principles for the industry in both countries

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)0.006
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.334
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0070.009
Meta-epidemiology (broad)0.0080.002
Bibliometrics0.0070.009
Science and technology studies0.0030.003
Scholarly communication0.0030.009
Open science0.0050.003
Research integrity0.0070.010
Insufficient payload (model declined to judge)0.0010.001

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 head0.022
GPT teacher head0.256
Teacher spread0.233 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueMarmara Avrupa araştırmaları dergisi/Marmara Üniversitesi Avrupa Araştırmaları Enstitüsü Avrupa araştırmaları dergisiSame topicElectric Power System OptimizationFrench-language works237,207