Effectiveness of Youth Homelessness Strategies: A Canadian Jurisdictional Evaluation
Bibliographic record
Abstract
Age matters when understanding and responding to homelessness. Although adults and youth both experience similar challenges when homeless, youths in particular experience distinct circumstances and pathways that often differ from adults in their causes, consequences, and targeted strategies, as much of their lives have been governed by adult caregivers. With a significant percentage of the homeless population having their first onset of homelessness as a youth, these distinct differences emphasize the importance of providing targeted strategies that are effective and long-term in improving the well-being of youths and preventing chronic homelessness. Therefore, this study aims to explore and analyze the effectiveness of current youth homeless strategies implemented in Canada. A jurisdictional scan was conducted to synthesize information on current youth-related homelessness strategies that have been evaluated and identify current prevention elements associated with successfully improving the well-being of youths at risk or experiencing homelessness. Strategies will be evaluated based on their outcomes on how "effective" it was in addressing the specific needs of homeless youths. This analysis attempts to provide a high-level overview of best practices that could be applicable to homeless youths in Calgary, Alberta. Results shown that evaluated youth-targeted strategies generally have favourable outcomes for youths while also illuminating the gaps in prevention programming that can be improved upon. Understanding of current best practices and evident gaps in prevention strategies for youth homelessness will be helpful in informing policy-makers and shaping potential new policies. Further evaluations on other existing strategies and rural programming for youths are discussed.
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.
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 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".