Motherhood Penalty and Labour Market Integration of Immigrant Women: A Review on Evidence from Four OECD Countries
Bibliographic record
Abstract
Among several reasons preventing the effective labour market integration of immigrant women, the motherhood penalty and unpaid care responsibilities stand out prominently. In line with this, the present scoping review shows how motherhood affects the labour market integration of immigrant women in Australia, Canada, the UK, and the USA. This review shows that parenthood exacerbates the gender pay gap and limits labour market access, favouring men with children over immigrant mothers. Moreover, the effect of the motherhood penalty might be moderated by the level of education, age of the children, and the country of origin/ethnicity of immigrants. In the four countries examined, labour market outcomes for immigrant women are particularly poor. Factors contributing to this include limited language proficiency, traditional gender norms that restrict the full-time employment of certain groups of immigrant women, and institutional barriers like work-permit processing delays. To address these challenges, Australia, Canada, the UK, and the USA have implemented various policies facilitating immigrant mothers’ workforce participation. These measures include language and legal-system education, subsidised childcare, and integration programmes for both mothers and children. Additionally, some programmes in Canada and the USA provide employment assistance and financial support for childcare, while Australia and the UK offer comprehensive integration and settlement services.
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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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.007 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".