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Record W2182092821 · doi:10.22215/cjers.v3i3.2442

Anti-Americanism and the Spirit of European Unity

2007· article· en· W2182092821 on OpenAlexvenueno aff
Дарья Борисовна Казаринова

Bibliographic record

VenueThe Canadian Journal of European and Russian Studies · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicLeadership, Human Resources, Global Affairs
Canadian institutionsnot available
Fundersnot available
KeywordsIdeologyAnti-AmericanismPolitical scienceEuropean integrationProcess (computing)ReproductionAestheticsPolitical economySociologyLawEuropean unionPhilosophyInternational tradePoliticsBusinessComputer science

Abstract

fetched live from OpenAlex

The European integration process was initiated based on the model of the United States. The idea was to create a unit similar in some ways to the United States, while at the same time a unique, European entity. Anti-Americanism can be defined as the ideological tendency to resist the reproduction of American economic, social and cultural patterns. At the heart of this article is the question of whether anti-Americanism is an effective contributor to the European integration process. Full text available: https://doi.org/10.22215/rera.v3i3.190

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)0.005
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 score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.027
Scholarly communication0.0080.003
Open science0.0000.006
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.053
GPT teacher head0.292
Teacher spread0.239 · 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
Published2007
Admission routes1
Has abstractyes

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Same venueThe Canadian Journal of European and Russian StudiesSame topicLeadership, Human Resources, Global AffairsFrench-language works237,207