“They are always focusing on the person who is doing the worst”: Exploring how crisis shapes young people's pathways in and out of supportive housing in Vancouver, Canada
Bibliographic record
Abstract
Housing instability, homelessness, and mental health among young people who use drugs in Vancouver, Canada, and elsewhere have increasingly been framed through a language of crisis. The declaration of overlapping housing, mental health, and addictions crises in our own setting has prompted a wide range of interventions, including the rapid expansion of supportive housing programs that include integrated housing-based substance use and mental health care. There is growing evidence demonstrating that these models are effective at stabilizing people who are experiencing protracted housing instability, mental health, and substance use related health concerns. We recount stories of three young people who have lived in supportive housing to argue that achieving the relative stability afforded by these interventions is partially contingent on maintaining a delicate balance between being in a state of "too much" or "too little" in crisis. These stories demonstrate two key findings. First, being in crisis has made these young people visible to housing, substance use, and mental health programs that may not otherwise be available to them. Secondly, entering periods of protracted or intense mental health crisis may reopen pathways into unstable housing and homelessness by activating undesirable institutional responses that conflict with young people's desire for self-determination in relation to their care. This study underscores that supportive housing should be part of a broader youth focused system of housing and care that seeks to address the needs of young people before they enter states of crisis.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.031 | 0.009 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.002 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 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".