Immigration Policies and the Factors of Migration from Developing Countries to South Korea: An Empirical Analysis
Bibliographic record
Abstract
Abstract This study examines the impacts of immigration policies adopted by the Korean government, vis‐a‐vis other economic, social, demographic, and political factors, on labour migration from developing countries to South Korea using a modified gravity model. The model is extended to marriage‐related migrants to gain insights on marriage migration. The positive results in three out of the five immigration policies examined affirm that liberal policies are associated with increased migration, especially for preferred groups like ethnic Koreans, marriage migrants, and professionals. The positive effects of “push” factors such as population, unemployment, and inflation are generally similar to their effects on migration to the US , Canada, Germany, and the UK despite its more rapid transition from a migrant‐sending into a migrant‐receiving country. Political terror's non‐significance may be due to South Korea's limited asylum policy. Finally, the results of the extended model imply that marriage migration share plenty of similarities with labour migration.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".