More than a Roof and a Key Required: Exploration of Guiding Principles for Stabilizing the Housing Trajectories of Youth Who Have Experienced Homelessness
Bibliographic record
Abstract
Youth homelessness represents a persistent and significant challenge for service sectors with limited best practice guidance. Housing supports, in particular, are widely deployed, with the practice-oriented literature providing little detail regarding service design beyond broad domains such as employment support and life skills coaching. The present multiple case study investigation was designed to develop a preliminary understanding of the guiding principles that attend the development of interventions that support youth exiting homelessness in the Canadian context. These case studies were conducted with a diverse group of five organizations recognized as sector leaders, with findings considered in light of practice standards from the better-established adult housing literature. Key findings with respect to service models included the strategies used to provide flexible, culturally responsive, tailored services with an emphasis on specialist support. Implementation factors included the navigation of strategic partnerships, the use of data in capacity-building, and the benefits and drawbacks of larger, centralized service environments versus smaller, dispersed environments. Youth-specific considerations in housing stabilization models are highlighted. This work contributes to a growing body of literature that seeks to articulate best practices in the effort to address and prevent youth homelessness.
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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 | 0.008 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.011 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| 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".