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RELATIONSHIP BETWEEN CANADA AND THE UNITED STATES: ASYMETRY AND INTERDEPENDENCE

2018· article· en· W2917212855 on OpenAlexaboutno aff
Ігор Петрович Дерев’янко

Bibliographic record

VenueHumanities Studies · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Political and Economic Relations
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsPosition (finance)AsymmetryPolitical scienceEmpirical evidenceEconomic geographyPolitical economyGeographyEconomicsLaw

Abstract

fetched live from OpenAlex

The article analyze the nature and content of bilateral Canadian-American asymmetric relations with uses the general scientific methods of empirical knowledge. The asymmetry of quantitative and qualitative parameters of Canada and the USA, which is caused by historical, geographical, political, economic, demographic and cultural factors, is revealed. It is proved that in the conditions of interdependence, the asymmetry of military potentials is not a determining factor in relations between the two North American countries. It found that the existing asymmetry of indicators between Canada and the United States does not create opportunities for the strong side to dictate its conditions and does not allow these relations to be turned into a one-sided relationship. Key Canadian strategies aimed at reducing asymmetry in relations with the United States are identified. It is indicated that “soft power” is an important factor in strengthening Canada’s political position in the asymmetric model of coexistence with the United States. The Relations between Canada and the United States are characterized not only by the high level of asymmetry and the wide application of regulatory mechanisms, but also by the high degree of interdependence that is particularly noticeable in the economic and cultural spheres. The asymmetric relationship between Canadian-American is evident in terms of reaching consensus in a wide range of activities. Key words: USA, Canada, Canadian-American Relations, Asymmetry, Interdependence, Potential.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.518
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.141
GPT teacher head0.335
Teacher spread0.194 · 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 designTheoretical or conceptual
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
Published2018
Admission routes1
Has abstractyes

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