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The Evolution of Economic Relations Between the USA and Canada: The Interdependence of the Two Economies

2022· article· en· W4283799093 on OpenAlexaboutno aff
Aleksandra Dmitrievna Filina, G. V. Tretyakova

Bibliographic record

VenueThe world of new economy · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsLatin AmericansUnrestInternational tradeFree tradePoliticsEconomic interdependenceEconomicsRelevance (law)Political scienceNormativeEconomyLaw

Abstract

fetched live from OpenAlex

The paper presents the results of the study of the evolution of economic relations between the United States and Canada, since 1989. The agreements regulating the economic relations of these countries among themselves and with other trading partners. An economic and statistical study of Canada’s exports to Latin America and the Caribbean and imports from them was carried out. Both Canada and the United States have become leaders in creating an open and free space based on the principles of multilateral trade. The main characteristics of the free trade zone are mutual concessions in terms of access to markets for services and goods; discipline in terms of trade restrictions; the use of dispute settlement mechanisms. Nevertheless, some researchers question the effectiveness of this trading system. US President Joe Biden promises to take measures to intensify bilateral cooperation, but Canadians are concerned about his decision to cancel the Keystone XL pipeline project. The commitment of the American president to the policy of “buying American” also causes some unrest. The above determines the relevance of considering the issue related to economic cooperation between the United States and Canada in modern conditions. The following research methods were used in the work: the normative method and the method of political analysis.

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)0.006
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: Empirical
Teacher disagreement score0.063
Threshold uncertainty score0.454

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.009
Science and technology studies0.0050.004
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.017
GPT teacher head0.256
Teacher spread0.240 · 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
Published2022
Admission routes1
Has abstractyes

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