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TRANSNATIONAL MIGRATION AS A PHENOMENON OF THE GLOBAL LABOR MARKET

2025· article· W4416929605 on OpenAlexaboutno aff
M. Horbashevska, O. Yu. Lelyuk

Bibliographic record

VenueVìsnik Marìupolʹsʹkogo deržavnogo unìversitetu Serìâ Ekonomìka · 2025
Typearticle
Language
FieldEconomics, Econometrics and Finance
TopicLabor Market and Education
Canadian institutionsnot available
Fundersnot available
KeywordsGlobalizationPhenomenonDivision of labourRedistribution (election)Human resourcesResource (disambiguation)Labor relations

Abstract

fetched live from OpenAlex

This article is dedicated to a comprehensive study of transnational migration as a key phenomenon shaped by the processes of globalization and the transformation of the global labor market. The essence of globalization is analyzed as an objective but asymmetric and uneven process that leads to the expansion of economic interests beyond national borders, the transformation of national corporations into TNCs, and the formation of an intellectual economy. In this context, the role of human capital, as a collection of human knowledge, skills, and abilities, is growing, which sharpens the qualification aspect of labor resource provision. It is investigated that one of the most powerful manifestations of globalization is the formation of transnational corporations, whose activities determine the depth of transformations in the system of the international division of labor. The authors argue that the transnationalization of labor resource provision has two dimensions: an inter-country aspect (international labor migration) and an intra-corporate level (the redistribution of employees within TNCs). It is noted that transnationalization as a phenomenon is a natural consequence of the globalization of the labor market, which determines the dependence of the economies of various countries on external labor resource provision. The article analyzes the dynamics of international labor migration, which is constantly growing (up to 169 million people in 2020), and emphasizes that it is the main driver of globalization. It is demonstrated that high-income countries dominate in the volume of attracting migrants, which correlates with the location of the headquarters of the largest TNCs. Based on statistical data, including reports from the World Bank and the International Labour Organization, it is proven that the economic activity rate of foreign workers is higher than that of non-migrants in all country groups, which confirms the systematic nature of international labor resource interaction. Particular attention is paid to the analysis of the migration policies of developed countries such as the USA, Canada, Australia, and New Zealand, which are identified as "countries of permanent immigration." It is substantiated that their migration policy is a strategic labor resource factor for economic growth and a means of solving the problem of providing a qualified workforce. It is concluded that transnational migration is a multi-dimensional and complex phenomenon that forms a new factor for global transformations in the world labor market. It significantly affects all aspects of the functioning of the world economy, requiring a systemic and comprehensive approach to regulation at both the national and corporate levels. Keywords:globalization, global labor market, international migration, international labor migration, transnationalization, transnational migration, labor flows, transnationalization of labor flows, global division of labor, labor supply.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.003
Scholarly communication0.0030.004
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.007
GPT teacher head0.208
Teacher spread0.201 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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