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Record W1873137510 · doi:10.1109/ccece.2000.849683

Electricity deregulation in Alberta: a national and international perspective

2002· article· en· W1873137510 on OpenAlexaffabout
N.D. Rao, Serban Iosif Sporea

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicTransport and Economic Policies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsDeregulationRestructuringMonopolyElectric power industryVertical integrationIndustrial organizationCompetition (biology)Electric powerElectric power distributionElectricityBusinessElectric utilityTelecommunicationsDistribution (mathematics)Electricity marketEconomicsPower (physics)Market economyFinanceElectrical engineeringEngineering

Abstract

fetched live from OpenAlex

The Electric Power Industry is undergoing a major structural change. As in companion network industries, i.e., transportation and telecommunications, the market for electric power is evolving from monopoly to competition. The Province of Alberta has taken a leadership role in restructuring its power industry through the introduction of the Electric Utilities Act in 1995. Subsequent consultations between stakeholders led to Bill 27, the Electric Utilities Amendment Act passed in 1998. The old model is one of vertically-integrated, regulated monopoly comprising the 3 elements: generation, transmission and distribution. In the new model, generation, transmission and distribution are treated separately, with generation and retail services set free from the deregulation mechanism. To ensure a level playing field, the "wires" (transmission grid) are spun into a separate entity and governed by an independent transmission administrator. This ensures system access to the pool to all generators and importers on a nondiscriminatory basis irrespective of the "wires" ownership. Customer choice at distribution level is scheduled for January 1, 2001.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.061
Threshold uncertainty score0.416

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.007
Science and technology studies0.0040.002
Scholarly communication0.0070.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.021
GPT teacher head0.214
Teacher spread0.193 · 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
Published2002
Admission routes2
Has abstractyes

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