Determinants of the Labor Force Emigration in Iran (Text in Persian)
Bibliographic record
Abstract
The relationship between international trade and emigration is being concerned in most developing countries with their relevant migration and trade policies. Such policies should rely on logical resolutions in order to reduce unemployment pressure on the labor market. Hence، this study examines the relationship between Iran’s trade volume and labor force emigration to the five major members of the OECD (the US، Canada، the UK، the Netherlands and Sweden) over the period 1992-2004 (1371-1383).Following Mitchell and Pain (2003) and Mayda (2005)، a specified gravity model is estimated by panel data to show the impacts of determinants on the Iran’s emigration. The empirical results obtained indicate that there is a significant and complementary relationship between trade volume and the labor force emigration to the selected countries of OECD in Iran. Additionally، the results show that convergence in the labor force productivity، as a gap between the number of skilled labors falls in Iran and the OECD members، can lead to a decrease in emigration from Iran to abroad.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".