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Record W2899457463 · doi:10.1080/11926422.2018.1462722

Substantive but inconsistent: Canada’s role in global environmental governance, 1968–2017

2018· article· en· W2899457463 on OpenAlexaffabout
Peter Stoett

Bibliographic record

VenueCanadian Foreign Policy Journal · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsUniversity of Ontario Institute of Technology
Fundersnot available
KeywordsPolitical scienceCorporate governanceEnvironmental governancePublic administrationManagementEconomics

Abstract

fetched live from OpenAlex

Canada has played a key leadership role in global environmental governance during specific periods since 1968, but has frequently faded from view or reversed direction as economic competiveness remained the central pillar of Canadian foreign policy. Canadian leadership on climate change and other environmental issues has proven inconsistent, torn between pressures for maximal resource extraction and the green agenda first advanced in the 1970s. Three international contextual dimensions have shaped Canadian foreign policy on environmental issues since Liberal Prime Minister Pierre Trudeau was first elected in 1968. Each of these in turn is further shaped by the domestic policy context, including the party in power, federal–provincial relations, and the state of the economy. The contextual dimensions include the Canadian–American relationship (or, more broadly, the continental dimension); the global ecopolitical context defined primarily by environmental multilateralism and Canada–United Nations collaboration; and the advent of climate change as the predominant environmental issue in the post-1992 period. This paper discusses these three dimensions and offers a panoramic viewpoint on Canada’s contribution to global environmental governance in the age of globalization.

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)0.005
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 score0.154
Threshold uncertainty score0.981

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0150.008
Scholarly communication0.0070.001
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.012
GPT teacher head0.258
Teacher spread0.247 · 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

Citations1
Published2018
Admission routes2
Has abstractyes

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