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Record W2949910699 · doi:10.82308/31876

La coopération politique bilatérale entre le Canada et les États-Unis dans le secteur énergétique : l'harmonisation des normes de fiabilité reliées au transport de l'électricité

2007· article· fr· W2949910699 on OpenAlexaboutno aff
Christine. Lemieux

Bibliographic record

VenueeScholarship@McGill (McGill) · 2007
Typearticle
Languagefr
FieldEnergy
TopicGlobal Energy Security and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsHarmonizationWelfare economicsContext (archaeology)ElectricityPolitical scienceEnergy sectorBusinessEconomyEconomic systemEconomicsGeography

Abstract

fetched live from OpenAlex

Do domestic variables matter in a context of bilateral cooperation? What factors positively influence the decision-making process in the case of a policy harmonization between two countries? By studying both countries' institutional differences and governmental and non-governmental actors' preferences in the energy sector, this research analyzes the bilateral cooperation between Canada and the United States regarding the creation of the Electric Reliability Organization. Although domestic institutional constraints are important to consider, I argue that both physical and economic market integration and the use of a non-governmental organization by central governments have facilitated the success of the cooperation process. Those factors have favored the convergence of decisional actors' preferences and the inclusion of the majority of actors from all sectors of the industry into the process. The analysis uses a sequential model implying the division decision-making process over foreign policy into specific stages to show the importance of domestic variables. Key words: Governmental cooperation, bilateral relations, actors' preferences, institution, energy sector, electricity, transmission network, reliability standards, market integration, restructured electricity market.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.856
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0030.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.002
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 head0.010
GPT teacher head0.224
Teacher spread0.214 · 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.

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
Published2007
Admission routes1
Has abstractyes

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