An intersectional pathway penalty: Filipina immigrant women inside and outside Canada’s Live‐In Caregiver Program
Bibliographic record
Abstract
Abstract This study uses Statistics Canada's Longitudinal Immigration Database to examine the ‘intersectional pathway penalty’ experienced by immigrant women from the Philippines entering Canada between 1996 and 2016 through three immigration categories. Estimating a series of growth curve models of employment income for 642,885 women, we compare Filipina immigrants’ earnings trajectories with female immigrants from other source countries to highlight how country of origin intersects with entry class to affect immigrant women's post‐migration labour market integration. Viewed through the lens of intersectionality, our results indicate that processes of differentiation tied to race and immigrant status result in Filipina women outperforming comparable women from other sources countries within the Live‐in Caregiver Program, where earnings are consistently lowest. However, within the higher earning Federal Skilled Worker Program entry class, Filipinas experience downward labour market mobility relative to women from other source countries, ultimately emphasizing the devalued nature of care work.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.000 | 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".