Without a Home: The National Youth Homelessness Survey
Bibliographic record
Abstract
Youth homelessness continues to be a seemingly intractable problem in Canada. We believe there are solutions, and that means leveraging the best knowledge we have to do things differently. \n \nThe Without a Home study is the first pan-Canadian study of young people who experience homelessness. With 1,103 respondents from 47 different communities across 10 provinces and territories, this study’s sample size has enabled us to conduct detailed analyses and to draw important conclusions. \n \nWithout a Home demonstrates that with respect to youth homelessness, we are waiting much too long to intervene. In many jurisdictions, services for young people who experience homelessness are not available until they are 16 or even 18. The evidence presented here suggests that by that time, a lot of damage has already occurred. \n \nIn this report, we outline the need for a prevention-focused approach that prioritizes systems integration and Housing First for Youth (HF4Y). Our current systems tend to focus on the provision of supports downstream, when young people are much older. Rather than focusing on preventing the problem or reducing the negative outcomes of youth homelessness, we are more likely to wait for a major rupture or crisis, or when the problems facing the youth become much more acute. This report vividly demonstrates the suffering caused by this approach: housing precarity, violence, marginalization, health challenges, and social exclusion. \n \nBy failing to implement more effective strategies to address youth homelessness, we are undermining the human rights of these youth. If we really want better outcomes for young people, we must do better. This survey provides policy makers, service providers, researchers, and the general public with some important baseline information about youth homelessness in Canada. The challenge we face now is mobilizing this knowledge to ensure that each and every young person has access to housing, safety, education, and supports.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".