Examining the socio-economic and gendered structure of Canada's Live-In Caregiver Program: A qualitative study of Filipina women's health experiences
Bibliographic record
Abstract
The primary aim of this critical ethnographic study was to examine how Filipina women in the Canadian live-in caregiver program (LCP) negotiate their own physical and mental well-being while managing the complex health needs of their clients. Using global care chain and postcolonial theoretical frameworks, I also sought to identify how multi-scalar forces including caregiving and migrant policies in Canada and South East Asia exacerbate pre-existing gendered and labour inequities faced by these women. The distressing impact of this precarious form of employment on family dynamics and relationships among family members in the Philippines was also explored. Data collection took place in Canada and the Philippines, including interviews with 16 women who were in the LCP, 10 key informants in the Greater Toronto Area, and 15 key informants in Metro Manila. Findings highlight the complex transnational network of players and conditions involved in the international care economy, including migrant labour brokers, who significantly shape the experiences of migrant care workers upon arrival in host countries. Extended separation from family was often prolonged due to restrictive migrant care worker policies in Canada and around the world. Prolonged separation had significant effects on women’s mental health, including persistent feelings of sadness, burnout, and fatigue, characteristic of depression. Women had mixed feelings about their constrained relationships with their families, yet their perceived responsibilities to their families strongly dictated their decision-making with respect to their work, health, and managing their own daily living needs. These findings contribute critical data with which to develop gender and culturally-appropriate care, programs, and protections to advance the health and safety of these women, who perform essential care work in our country.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.028 | 0.010 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| 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".