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Imbalances of Ukraines global economic integration and the de-peripherization strategy in partnership with Canada, the EU, and the USA during post-war reconstruction

2025· article· en· W6946392695 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueGalician economic journal · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicSpecies Distribution and Climate Change
Canadian institutionsnot available
Fundersnot available
KeywordsGeneral partnershipContext (archaeology)Supply chainEconomic integrationModernization theoryForeign direct investmentGlobal value chainIndustrial policyValue chain

Abstract

fetched live from OpenAlex

The article provides a comprehensive analysis of the imbalances in Ukraine’s global economic integration and substantiates the need to transform its integration model in the context of post-war reconstruction, shifts in the world’s geoeconomic architecture, and the formation of strategic alliances with Canada, the European Union, and the United States. It identifies the key threats of economic peripheralization, including export-commodity dependence, a low share of industrial exports, loss of positioning within global value chains, and a lack of foreign investment in high-tech sectors. The author proposes the Smart Integration concept as a new model for Ukraine’s de-peripheralization, aimed at comprehensive economic modernization through the synergy of digital transformation, defense cooperation, innovation infrastructure development, institutional economic diplomacy, and the creation of green industrial hubs. The potential of Smart Industry Zones, Industrial Tech Parks, Digital Export Platforms, and mechanisms for establishing international defense technology clusters in cooperation with NATO member states are analyzed. The paper emphasizes Ukraine’s critical role in global supply chain security alliances, including the supply of critical minerals, components for green energy, and the digital industry. It offers practical recommendations for implementing an ESG-based recovery model, fostering a knowledge economy, and attracting foreign capital through public-private partnership instruments. The role of digital platforms and national export infrastructure in enhancing the global competitiveness of Ukrainian businesses is highlighted. The study employs both quantitative and qualitative methods, incorporating statistics from 2022–2025, global integration index assessments, Ukraine’s involvement in international trade agreements, and projections through 2030. The findings provide strategic value for shaping Ukraine’s economic policy in the areas of external economic integration, innovation-led growth, defense-industrial transformation, and the realization of strategic partnership potential with Canada, the EU, and the U.S. within the framework of the new global economy.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.762
Threshold uncertainty score0.920

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.006
GPT teacher head0.211
Teacher spread0.205 · 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