Aging on the Margins: Intersectional and Postcolonial Insights into Older Migrants’ Experiences of Homelessness
Bibliographic record
Abstract
This study explores the lived experiences of older migrants experiencing homelessness (OMEH) in Canada, a population situated at the intersection of multiple structural vulnerabilities. Drawing on interviews with 22 older migrants across eight housing programs in three Canadian cities, the study applies an intersectional postcolonial framework to examine how migration status, age, and systemic exclusion shape participants' sense of community, access to services, and well-being. Findings reveal that while culturally affirming relationships and activities supported a sense of belonging, participants frequently encountered isolation, racism, and depersonalized care environments shaped by neoliberal policy frameworks. Family relationships were described as both sources of support and tension, complicated by migration expectations and intergenerational differences in values. The paper argues that the current housing system often fails to account for the cultural, relational, and structural needs of OMEH and calls for a shift toward culturally responsive and relationship-cantered care models. This research contributes to a growing body of intersectional gerontology and critical homelessness studies by centering the voices of older migrants and highlighting the systemic forces that shape their exclusion and resilience.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.018 | 0.017 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.012 |
| 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".