Bibliographic record
Abstract
Youth homelessness in Canada impacts a significant number of young people. More specific to our focus, populations of young people who are more likely to experience homelessness (e.g. youth with mental health issues, 2SLGBTQIA+ youth, youth from care, and Indigenous youth) face significant barriers to accessing safe, culturally appropriate, and supportive education, suggesting rights to housing and rights to education are intersecting equity issues. This article presents findings from a participatory research project led by members of Youth Action Research Revolution, carried out in Tio’tiá:ke/Montréal, Québec, Canada. Building from experiences young people shared, this article highlights aspects of the public education system that pose problems for youth who are precariously housed or homeless, namely, the application of one-size-fits-all approaches, barriers for students with mental health or learning disability diagnoses, and the lack of clear or actionable institutional mechanisms for students to access preventative support. Following this, we outline educational discourses, practices, and processes that constitute where something may have been done differently to prevent homelessness. We conclude with possible actions to support youth homelessness prevention in schools, including creating more flexible ways for children and families to access supports, resourcing “champion” teachers, and addressing the insidious biases and discrimination in the organization of school policies.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.020 | 0.007 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 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".