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Features of Adaptation of Ukrainian Refugees in the EU, Great Britain, USA, and Canada

2022· article· en· W4312909504 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

VenueFOREIGN AFFAIRS · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Issues in Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsRefugeeUkrainianPolitical scienceEuropean unionEconomic growthLawInternational tradeBusinessEconomics

Abstract

fetched live from OpenAlex

Russia's armed aggression against Ukraine has resulted in tens of thousands of deaths, destruction of cities and towns, homes and infrastructure. The constant threat is a consequence of the large flow of refugees who are forced to leave the country in search of security and asylum. European Union countries, the United Kingdom, the United States, and Canada have accepted those fleeing the war and provided temporary protection. The relevance of the study consists in the identification of ways for assistance and benefits conferred, which are aimed at adapting and supporting Ukrainian refugees. The purpose of this paper is to study the features of adaptation of Ukrainian refugees in the EU, Great Britain, USA, and Canada, the socio-psychological state of refugees during the adaptation period, to compare the concepts of “refugee” and “person in need of temporary protection”, the characteristics of the social assistance package for Ukrainian refugees. The methods used to investigate the topic are: comparative, legal recognition, logical and legal method, hermeneutical method, analysis, etc. The results of this study are a comparison of the main concepts, including: “refugee”, “person in need of temporary protection”, characteristics of Ukrainian and international laws and regulations on refugee protection issues, clarification of the features of adaptation of Ukrainian refugees in the EU countries, Great Britain, USA, and Canada, psychological aspects of refugee adaptation, comparative analysis of social assistance and benefits for refugees between EU countries, Great Britain, USA, and Canada, processing statistics to compare the number of refugees between countries that provide asylum and protection. The provisions presented in this paper reveal the current problems of adaptation of Ukrainian refugees in the EU, Great Britain, USA, and Canada and may be useful for further study

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.859
Threshold uncertainty score0.728

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.017
GPT teacher head0.202
Teacher spread0.185 · 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