Im/migration, mental health and well-being, and newcomer Filipino families: implications for anti-racist and anti-oppressive policies and practice
Bibliographic record
Abstract
This article draws upon the perspectives of newcomer Filipino families who have migrated through the global domestic work industry, specifically through Canada's Live-in/Caregiver Program (L/CP), and the perspectives of Filipino social service providers in Toronto, Ontario, Canada. I examine how newcomer Filipino families make meaning of, and negotiate, the impact of family separation and reunification through the L/CP on their mental health and well-being. Moreover, I look at how Filipino social service providers center the experiences of newcomer Filipino families within service provision through an anti-racist and anti-oppressive framework, which has implications for policies and praxis in community-based agencies. The paper moves from deficit-focused experiences of ‘trauma’ to centring the voices of newcomer Filipino families as agents of change, in collaboration with Filipino social service providers. This shift illuminates how newcomer Filipino families and their lived experiences are sites of transformation in the policy and practices that impact their mental health and well-being.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.020 | 0.017 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".