Examining the Housing Experiences of Refugee Claimant Families in the Greater Toronto and Hamilton Area: Service Providers’ Perspectives
Bibliographic record
Abstract
Housing is a key social determinant of health. Further to this, my research will show that it is through housing that all other health determinants are fully actualized. For refugee claimant (RC) families, housing is the most immediate and pressing need upon their arrival in Canada. The objective of this exploratory qualitative study is to examine the housing experiences of refugee claimant (RC) families in the Greater Toronto and Hamilton Area (GTHA) and its impact on the health, well-being, settlement and integration of this population from the perspectives of services providers. Given the increasing inflows of asylum seekers in Canada over the past few years, there is an urgent need to examine their housing experiences and subsequent impacts on health and well-being. Using purposive sampling, seven service providers from five different refugee centres and family shelters in the GTHA were recruited. Individual, semi-structured interviews were conducted, recorded, transcribed, and then analyzed thematically. Findings demonstrate that accessing both emergency and permanent housing upon arrival is particularly difficult for RCs, given that the demand for housing continues to surpass availability in the emergency shelter system and private housing market in the GTHA. In their search for permanent housing, many RCs rely on the private housing market, where discrimination and affordability are common barriers. With an uneven and difficult trajectory towards housing access, many RCs face health issues associated with stress, poverty, and homelessness, which disrupt their settlement and integration in Canada. This research concludes by offering recommendations for policy and program level changes to improve refugee housing access in the GTHA. These recommendations include increasing service provision capacity in shelters, expanding transitional housing options for RCs, increasing investments in subsidized housing, limiting government involvement in REITS and increasing incentives to build more subsidized housing.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.009 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".