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Record W4386468137 · doi:10.1080/11926422.2023.2250021

Ukrainian refugees of the period of the Russian-Ukrainian war in NATO countries: the geopolitical context of the military migration crisis

2023· article· en· W4386468137 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCanadian Foreign Policy Journal · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicRegional Socio-Economic Development Trends
Canadian institutionsCarleton University
Fundersnot available
KeywordsGeopoliticsRefugeePolitical scienceUkrainianContext (archaeology)Spanish Civil WarMass migrationEconomyEconomic historyDevelopment economicsGeographyHistoryImmigrationLawPoliticsEconomics

Abstract

fetched live from OpenAlex

The Russian-Ukrainian war is being waged on the territory of Ukraine, but it is of global importance. One of the aspects of the war is the mass migration of Ukrainians abroad. The causes and features of migration are explained in the global geopolitical context. In recent years, war refugees have become increasingly important in world migration flows. This testifies to the crisis of the world order that arose in the early 1990s. The uniqueness of the flow of refugees from Ukraine is its extraordinary size, speed of movement, gender and age imbalance, the predominance of urban residents with a high level of education. In the future, this prepares for Ukraine a demographic catastrophe and difficulties in the post-war reconstruction of the country. The author concludes that a solution to the Ukrainian military migration crisis can be found in the context of changes in the post-war world order.

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)0.002
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.588
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0020.000
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 head0.016
GPT teacher head0.283
Teacher spread0.267 · 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