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Record W2055379317 · doi:10.1080/09662830108407496

Ukraine and the west: Moving from stability to strategic engagement

2001· article· en· W2055379317 on OpenAlexaff
Taras Kuzio, Jennifer D. P. Moroney

Bibliographic record

VenueEuropean Security · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicPost-Soviet Geopolitical Dynamics
Canadian institutionsYork University
Fundersnot available
KeywordsGeopoliticsPolitical scienceForeign policyAmbivalencePolitical economyNational identityEconomyPoliticsSociologyLawEconomics

Abstract

fetched live from OpenAlex

This article surveys the West's engagement with Ukraine during the last decade and argues in support of a more robust, coherent and committed policy towards Ukraine. The West's ambivalent policy towards Ukraine was matched by Ukraine's amorphous and declaratory policy towards integration into Trans‐Atlantic and European structures. This weakly defined foreign policy was matched by an unclear commitment domestically to reform. The article is divided into six sections that cover Ukraine's strategic importance to the West and the rise of geopolitical pluralism in the post‐Soviet space. It then surveys Ukraine's reform record and the role of national identity in Ukraine's foreign policy. The article also discusses the ambivalence in both Western policy towards Ukraine and Ukraine's policy towards ‘returning to Europe’. Finally, the article makes six policy recommendations for Western governments to increase their strategic engagement with Ukraine.

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)0.002
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 score0.013
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.005
Scholarly communication0.0090.005
Open science0.0000.007
Research integrity0.0010.001
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 head0.044
GPT teacher head0.295
Teacher spread0.251 · 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

Citations10
Published2001
Admission routes1
Has abstractyes

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