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Record W3009755767 · doi:10.4324/9781315261546-2

Managing Canada’s U.S. Relations Through NAFTA’s Trade-Environment Regime

2017· book-chapter· en· W3009755767 on OpenAlexaboutno aff
John Kirton

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsInternational tradePolitical scienceEconomic geographyBusinessGeography

Abstract

fetched live from OpenAlex

North American Free Trade Agreement’s (NAFTA) trade and related investment liberalizations were particularly important for smaller firms from smaller countries such as Canada, which depend increasingly on access to the larger United States market for much of their trade and GNP. The autonomous power of international institutions is further seen by examining the outcome of the cases according to their non-NAFTA or NAFTA-affected resolution. The importance of the NAFTA era can be further seen by examining the outcomes of those resolved cases in the post-NAFTA era which have been importantly dealt with through the NAFTA institutions. The mechanism for industry involvement, through the joint meetings of the Committee on Standards Related Measures with trilateral industry bodies, is a facilitator of success. The 1994 NAFTA and its accompanying North American Agreement on Environmental Cooperation introduced an innovative, world leading regime for giving trade liberalization and environmental protection a more equal, integrated and mutually supportive place.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.118
Threshold uncertainty score0.854

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0150.004
Scholarly communication0.0100.002
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0120.002

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 head0.029
GPT teacher head0.251
Teacher spread0.222 · 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 designTheoretical or conceptual
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

Citations0
Published2017
Admission routes1
Has abstractyes

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