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Record W3187911928 · doi:10.15421/112133

International youth migration: features, tendencies, regulation prospects

2021· article· en· W3187911928 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

VenueJournal of Geology Geography and Geoecology · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicRegional Socio-Economic Development Trends
Canadian institutionsnot available
Fundersnot available
KeywordsPopulationEmigrationPolitical scienceAttractivenessGeographyDemographic economicsChinaHuman migrationDevelopment economicsEconomic growthEconomic geographyDemographyEconomicsSociology

Abstract

fetched live from OpenAlex


 
 
 The article examines the global and regional issues of international youth migration. The obtained results are most interesting for those regions where the population is shrinking and aging with a rising need to involve youth for educational services and local labor markets, or vice versa, for those losing youth due to their emigration. It is emphasized that youth create an economically active social group, which volume and quality significantly affect the country’s development. During the global migration trends identification, the authors identified the international youth migration flows’ differences and features. The paper notes that the global trends in the international youth migration development include: increase in volume and percentage of youth in the overall number of migrants and the local population; growth of youth migrants in more developed regions and high-income countries; the dominance of migratory centers for youth in Oceania, North America, and Europe; formation of powerful centers of migration of intellectual young labor resources in the UAE, Canada, the USA, Australia, and New Zealand. The available formational policy in youth migration regulation, on the example of India, China, Taiwan, Japan, USA, and Western Europe, is studied. The impact of the COVID-19 pandemic on international migration flows is considered, including changes in international migration in 2020. Based on the UN data analysis on age groups of migrants within geographical regions, it was determined that the prerequisite for such a structure of migration centers is a high level of migratory attractiveness. Such migration-center structure is also explained by the significant level of cross-regional migration, as in the localized regions, their factors of «attraction-repulsion» are formed. It is stressed out that increas- ing military and political instability has led to the uphill of forced youth migrants. The paper proposes the flow optimization directions of international youth migration by formulating the link between migration policy and elements of other integration policies on migrant youth (employment policy, social, educational, information and security policies).
 
 

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.180
Threshold uncertainty score0.822

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 studies0.0000.001
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 head0.011
GPT teacher head0.255
Teacher spread0.244 · 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