Opportunity Knocks: Prioritizing Canada’s Most Vulnerable Youth
Bibliographic record
Abstract
In a caring and affluent society like Canada, it is unacceptable that any young person would become entrenched in homelessness as a result of family breakdown and systems failures. Despite little evidence that we are reducing youth homelessness, we continue to rely on crisis responses such as emergency shelters and day programs. Even worse, it is objectionable to simply rely on a crisis response to address the issue, exposing young people to harm and expecting them to “bootstrap” themselves out of homelessness. Numerous studies have demonstrated the harmful consequences of allowing young people to remain in an extended state of homelessness, and yet few communities in Canada have youthspecific systems or strategies to help them transition quickly into housing. In this regard, we are not making sufficient progress and too many young people remain stuck in homelessness. \n \nThe following brief articulates the vision of a distinct, youth-focused funding stream through the Homelessness Partnering Strategy (HPS). It focuses on four strategies: \n \nA) Community Planning and Systems Coordination \nB) Program Interventions \nC) Governance and Structure \nD) Data Collection and Research \n \nIt also introduces youth-centred outcomes that can be supported and leveraged across Federal departments: \n \n - Increased housing stability for youth; \n - Prevention of youth homelessness; \n - Healthy transitions to adulthood; \n - Enhanced educational participation and achievement; \n - Stronger employment and labour market participation outcomes; and \n - Increased resiliency in homeless youth and youth at risk of becoming homeless. \n \nThe renewal of the national strategy on homelessness presents a real opportunity to transform how we address youth homelessness in Canada, by moving from managing the crisis and putting young people at great risk, to an approach that focuses on the health and well-being of young people and assisting them to transition to adulthood in a safe and planned manner. The Government of Canada can show great leadership in this regard through making prevention and ending of youth homelessness a priority within the renewed national strategy. This means retaining current investments in Housing First and other community supports but also a dedicated investment in, and prioritization, of 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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.024 | 0.005 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.004 | 0.017 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.016 | 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".