Transforming the Canadian Policy Agenda for School-Based Prevention of Youth Homelessness: Research as Activism
Bibliographic record
Abstract
Youth homelessness (YH) demands transformative changes in research, education, and public policy. Distinct from adult homelessness (AH), poorly addressed YH may lead to AH. Prevailing media narratives and policy communications perpetuate stigma and are unrepresentative of youth’s lived experiences, hindering the educational sector’s capacity to implement supportive measures in youth homelessness prevention. Schools are well poised to provide preventative and mitigative supports to address YH, yet the work intensification of educators has reached a point of fatigue, thus threatening support efficacy. We conceptualize research as activism and propose that policy can be engaged as a matter of social justice and a means to transform society via research and knowledge mobilization (KMb). Our Canadian environmental scan informs several studies in progress, which share goals to: prevent YH; reduce harms from intersectional issues to YH; and ameliorate conditions for resilience pertaining to youth in or at risk of homelessness. We call for a multi-pronged approach to engage stakeholders and the education sector in addressing this high-stakes issue disproportionately affecting underserved youth. Our findings chart the next steps of this research as activism cycle.
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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 | 0.023 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.031 | 0.027 |
| Scholarly communication | 0.019 | 0.007 |
| Open science | 0.003 | 0.012 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.011 | 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".