Towards the Prevention of Youth Homelessness
Bibliographic record
Abstract
Historically, the prevention of youth homelessness has not been a priority in Canada or the United States. In recent years, this has begun to change. While there is growing recognition that a shift by preventing homelessness is required to bring a substantive end to homelessness, a common and shared understanding of what prevention is and what it involves has remained largely absent or obscured in both policy and practice. In this paper, we focus specifically on the prevention of youth homelessness and set out to provide conceptual clarity through presenting a clear definition of what prevention is and what it is not. Accompanying the definition is a five-point typology that includes (1) structural prevention; (2) systems prevention; (3) early intervention; (4) crisis intervention, and (5) housing stabilization. Each of the five elements of the typology is defined, identifying who is responsible for implementation. In addition, the typology is populated with examples of different approaches to the prevention of youth homelessness. We conclude with some key considerations to guide the implementation of preventive interventions and present core principles designed to support the development of effective and quality prevention interventions.
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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 | 0.013 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.002 |
| Science and technology studies | 0.008 | 0.017 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.005 | 0.013 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".