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Record W2605988027 · doi:10.7202/1039136ar

Canada's Energy Policy Relations in North America: Towards Harmonization and Supranational Approaches

2017· article· fr· W2605988027 on OpenAlexvenueaboutno aff
Monica Gattinger

Bibliographic record

VenueRevue Gouvernance · 2017
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

Cet article se penche sur les relations nord-américaines du Canada dans le domaine de la politique énergétique et soutient que, depuis une trentaine d’années, ces relations ont connu un double changement. En premier lieu, les politiques énergétiques globales du Canada et des États-Unis sont devenues de plus en plus harmonisées grâce à la libéralisation du commerce, à la restructuration du secteur de l’électricité et à la déréglementation économique. En second lieu, sur certaines questions, les relations canado-américaines en matière de politiques énergétiques semblent être en train de délaisser les approches intergouvernementales bilatérales pour évoluer vers des relations binationales (quasi supranationales) et s’étendent au Mexique grâce à des approches trilatérales et, jusqu’à un certain point, trinationales. Étant donné que la gestion des relations en matière de politique énergétique en Amérique du Nord se fait dans une grande mesure sans tambour ni trompette au moyen de processus transgouvernementaux, l’auteure en appelle à l’amélioration de l’ouverture, de la transparence et de la représentativité dans ces échanges.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.153
Threshold uncertainty score0.982

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.006
Science and technology studies0.0170.013
Scholarly communication0.0130.003
Open science0.0020.005
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0070.000

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 head0.032
GPT teacher head0.245
Teacher spread0.213 · 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 designNot applicable
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
Published2017
Admission routes2
Has abstractyes

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