MétaCan
Menu
Back to cohort
Record W4385600776 · doi:10.1515/9780773585058-011

Canada-United States Energy Relations from Domestic to North American Energy Policies?

2010· book-chapter· en· W4385600776 on OpenAlexaboutno aff
Monica Gattinger

Bibliographic record

VenueMcGill-Queen's University Press eBooks · 2010
Typebook-chapter
Languageen
FieldEnergy
TopicGlobal Energy Security and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceEnergy (signal processing)GeographyPhysics

Abstract

fetched live from OpenAlex

During the 2008 American presidential race, Republican presidential hopeful Senator John McCain proclaimed to the Economic Club of Canada that "[Canada and the United States] must work to ensure reliable energy supplies and increase sources of renewable energy We stand much to gain by harmonizing our energy policies, just as we have gained by cooperating in trade through nafta." 2 Although Senator McCain was ultimately unsuccessful in his bid for the American presidency, his assertion was not surprising in the context of fluctuating energy prices, the global economic downturn, enduring concerns over energy security in the United States, the ascendance of climate change on domestic and international policy agendas, and increasingly integrated North American energy markets. McCain's recommendation was certainly not the first of its kind nor is likely to be the last. It does, however, raise a number of important questions for Canada and for Canada-United States and North American energy relations. What are the drivers of, prospects for and desirability of harmonizing Canadian and American energy policies? Would such harmonization involve energy in toto or only certain segments or functions of the industry? To what degree are energy policies already harmonized? Given the asymmetry between Canada and the us, would energy policy harmonization processes result in the Americanization of Canadian energy policies? If Canada and the United States were to pursue a path of harmonization, what processes to achieve this goal could or should be used? Finally, what is the place of Mexico in this dossier?

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.981
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.008
GPT teacher head0.191
Teacher spread0.184 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations2
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueMcGill-Queen's University Press eBooksSame topicGlobal Energy Security and PolicyFrench-language works237,207