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Record W2916726037 · doi:10.11575/prism/34322

The Provincial Energy Strategy - An Integrated Approach: The Challenges Raised by a Two-Board Model for Energy and Utility Regulation

2009· article· en· W2916726037 on OpenAlexfundaboutno aff
Cecilia A. Low

Bibliographic record

VenuePRISM (University of Calgary) · 2009
Typearticle
Languageen
FieldEnergy
TopicGlobal Energy Security and Policy
Canadian institutionsnot available
FundersAlberta Electric System Operator
KeywordsEnergy (signal processing)BusinessComputer scienceRisk analysis (engineering)EconomicsMathematics

Abstract

fetched live from OpenAlex

The government of Alberta introduced the Provincial Energy Strategy in 2008. A key element of the Strategy is integration in planning and decision-making across energy sectors and across energy, the environment and the economy. At the beginning of 2008, the government of Alberta moved away from the single board approach to energy and utility regulation back to a two-board model when it re-created the Energy Resources Conservation Board (ERCB) and created the Alberta Utilities Commission (AUC). The two-board model for energy and utility regulation as established by current legislation will present challenges to the implementation of the Provincial Energy Strategy. In this paper, the author provides an assessment of the respective roles of the ERCB and the AUC as defined by current legislation as well as an assessment of the roles of the boards in the context of the Provincial Energy Strategy. In particular, the author identifies areas where challenges may arise as well as suggestions for how the two-board model for energy regulation in Alberta can be utilized to implement the Energy Strategy.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.935
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.022
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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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
Published2009
Admission routes2
Has abstractyes

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