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Record W7065566371

The electrical transition in Spain: from traditional regulation to market regulation, 1982-1996

2018· article· en· W7065566371 on OpenAlexaboutno aff

Bibliographic record

VenueRevistes Científiques de la University of Barcelona (University of Barcelona) · 2018
Typearticle
Languageen
FieldEngineering
TopicSilicon and Solar Cell Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsElectricityQuarter (Canadian coin)Electric power industryPoliticsElectric energyElectricity marketEnergy sectorEnergy transition
DOInot available

Abstract

fetched live from OpenAlex

In the last quarter of the 20th century, economic regulation in the Spanish electricity sector has changed dramatically. Energy policy and the behaviour of utilities companies in Spain should be understood in light of the following contexts: the energy and economic crisis in the 1970s; the political transition towards a democratic regime, and the incorporation of Spain into the European Union. As shown through the aspects analysed in this article, traditional regulation in the Spanish electrical sector did not obtain the desired levels of efficiency. This traditional regulation, which went against competitive regulation put into practice in leading nations, was widely questioned. Any explanation of current regulation deficiencies in the Spanish electricity market, however, should take into account not only the current regulation models but also the “path dependence” in the industrial organization of utilities companies, which historically has been very concentrated in Spain.

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)0.002
metaresearch head score (Gemma)0.005
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: Empirical
Teacher disagreement score0.058
Threshold uncertainty score0.115

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.002
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.009
GPT teacher head0.178
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 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
Published2018
Admission routes1
Has abstractyes

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