Precarious housing: the effects of intersecting identities on foreign caregivers’ housing experiences in Edmonton, Alberta
Bibliographic record
Abstract
Although housing is integral to the socio-economic integration of immigrants into mainstream immigrant-receiving countries, studies have found poor housing conditions among certain classes of immigrant. In Canada, there is limited research on the housing experiences of temporary foreign workers, particularly foreign caregivers. This group of immigrants are invaluable and crucial to the Canadian society, performing mundane and menial tasks of housekeeping such as caring for the sick, children, seniors, and the differently-abled (disabled). Without the tireless efforts of foreign caregivers, some social systems—particularly the health sector—would face immense pressure, potentially rendering some households economically immobile. However, these caregivers must also navigate their own housing challenges while fulfilling these vital caring roles. This article explores the (un)changing housing experiences of Filipina care workers in Edmonton, Alberta, through an intersectional lens, drawing on thirteen in-depth interviews with both current and former caregivers. The findings revealed that while caregivers access housing differently, their housing precarity is similar. The study also highlighted how the various positionalities of care workers—as visible minorities, women, less-paid workers, transnational mothers, and breadwinners—affected their housing experiences in Canada. Further, the study revealed that most participants are renters because of limited resources, a lack of housing knowledge and prioritization of familial responsibilities. The study suggests that policy interventions should consider the multifaceted identities of caregivers in Canada to better address their housing needs through more inclusive policy decisions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".