Cycles of instability: Proximal and distal influences on residential instability among people with histories of homelessness in three Canadian cities
Bibliographic record
Abstract
People with histories of homelessness often have difficulties obtaining and maintaining adequate housing. This qualitative study examined the residential transitions of people with histories of residential instability and homelessness to understand factors contributing to the instability they experience. Interviews were conducted with 64 participants about their housing transitions, in the final year of a 4-year, prospective cohort study in three Canadian cities (Ottawa, Toronto, and Vancouver). Findings showed that participants pointed to both distal and proximal factors as affecting residential transitions, including interpersonal conflict, safety concerns, substance use, poverty, pests, and health. Many reported disconnection from their housing and a lack of improvement from one housing situation to the next, demonstrating how even when housed, instability persisted. Our study highlights the complexity associated with participants' often unplanned and abrupt residential transitions. The complex and distal issues that affect housing transitions require structural changes, in addition to individual-based interventions focused on the proximal problems.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.013 | 0.005 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".