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Record W4246225760 · doi:10.22215/rera.v12i2.1310

The European Union’s Policy towards its Eastern Neighbours: The Crisis in Ukraine

2018· article· en· W4246225760 on OpenAlex
Tatsiana Shaban

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueReview of European and Russian Affairs · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Politics and Security
Canadian institutionsCarleton UniversityUniversity of Victoria
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsEuropean Neighbourhood PolicyEuropean unionCorporate governancePolitical scienceSoviet unionCrisis managementSecurity policyEconomic systemEconomyEconomic policyBusinessEconomicsPoliticsLaw

Abstract

fetched live from OpenAlex

The European Union’s neighbourhood is complex and still far from being stable. In Ukraine, significant progress has occurred in many areas of transition; however, much work remains to be done, especially in the field of regional development and governance where many legacies of the Soviet model remain. At the crossroads between East and West, Ukraine presents an interesting case of policy development as an expression of European Union (EU) external governance. This paper asks the question: why was the relationship between the EU and Ukraine fairly unsuccessful at promoting stability in the region and in Ukraine? What was missing in the European Neighbourhood Policy (ENP) in Ukraine that rendered the EU unable to prevent a conflict on the ground? By identifying security, territorial, and institutional challenges and opportunities the EU has faced in Ukraine, this paper underlines the most important factors accounting for the performance of its external governance and crisis management in 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.

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)0.008
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.964
Threshold uncertainty score0.494

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.023
GPT teacher head0.310
Teacher spread0.287 · 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