Dynamics and Structure of International Labor Migration: Global Trends
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.
Bibliographic record
Abstract
The article is devoted to the analysis of the process of international labor migration, the definition of factors affecting its scale, geographical directions and quality component. It was revealed that negative demographic trends in developed countries (birth rate decline, aging of the population) generate disproportions in their national labor markets, turning migration into the most important and, actually, the only source of labor force replenishment. In Western Europe, workers of foreign origin make up 18.4% of the total workforce, in Australia, Canada, and the United States it is about 20%. The effective functioning of some sectors of the economy in developed countries is already dependent on the labor of migrants. The trend to increase the share of foreign labor in the labor markets of these countries will grow. On the other hand, under the influence of scientific and technological progress, the needs of the labor market are being transformed, the demand for highly skilled and skilled labor is increasing. Through preferential migration regimes, countries are trying to attract foreign specialists, including potential (foreign students), thereby increasing the role of educational migration in the migration flow, its scale is growing, the flows of highly qualified specialists are intensifying, contributing to a change in the qualitative component of labor migration.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it