Family Matters in Ontario: Understanding and Addressing Homelessness Among Newcomer Families in Canada
Bibliographic record
Abstract
BACKGROUND: Canada, a key player in global humanitarian affairs is faced with enormous challenges in relation to housing and homelessness. As international migration continues to occur, homelessness among immigrant families is increasing worldwide; a situation that needs urgent attention and action. PURPOSE: We designed this study to explore the needs of homeless families, identify risk factors associated with family homelessness, and to find strategies that could assist in mitigating and preventing homelessness among families in Canada. METHODS: This paper reports qualitative findings from a focused ethnographic study embedded in participatory action research that explored the experiences of 11 immigrant families with housing challenges in Ontario Canada. RESULTS: Thematic analysis yielded five (5) major themes: life challenges; lack of understanding of the system; difficulty with conflict resolution; escaping as a solution for hardship; and reducing immigrant family homelessness. CONCLUSION: Findings from the study highlight the urgent need for advocacy and a well-tailored supportive housing policy to address family homelessness in Ontario.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.027 | 0.006 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.004 |
| 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".