Pathways into homelessness: Understanding how both individual and structural factors contribute to and sustain homelessness in Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This qualitative study examined how homeless individuals with mental illness experience pathways into homelessness. Study participants were enrolled in the At Home/Chez Soi project, a Pan-Canadian Randomized Controlled Trial comparing the Housing First approach with Treatment as Usual for homeless individuals. This inquiry is grounded in social ecological perspective, which considers interactions between individual and structural factors. Findings from consumer narrative interviews ( n = 219) revealed that individual factors, such as substance abuse, relationship conflicts and mental health issues significantly contributed to homelessness, in addition to structural transitions from foster care and institutional settings into the community. Additional structural factors entrenched participants in unsafe communities, created obstacles to exiting homelessness and amplified individual risk factors. The study findings confirm the role of individual risk factors in pathways into homelessness, but underscore the need for policies and interventions to address structural factors that worsen individual risks and create barriers to exiting homelessness.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 it