The Double Disadvantage Reconsidered: Gender, Immigration, Marital Status, and Global Labor Force Participation in the 21st Century
Bibliographic record
Abstract
Although women's representation among international migrants in many countries has risen over the last 100 years, we know far less about gender gaps in the labor force participation of immigrants across a wide span of host societies. Prior studies have established that immigrant women are doubly disadvantaged in terms of labor market outcomes in the U.S., Canada, and Israel. These studies suggest an intriguing question: Are there gender gaps in immigrant labor force participation across destinations countries? In this paper, we investigate the extent to which the double disadvantage exists for immigrant women in a variety of host countries. We also examine how marriage moderates this double disadvantage. For the U.S., although we find that immigrant women have had the lowest labor force participation rates compared to natives and immigrant men since 1960, marital status is an important stratifying attribute that helps explain nativity differences. Extending the analysis to eight other countries reveals strong gender differences in labor force participation and shows how marriage differentiates immigrant women's labor force entry more so than men's.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".