Alternative Supportive Transitional Housing: The Introduction of Supportive-Coliving in Empowering Single Homeless Youth Mothers in Toronto
Bibliographic record
Abstract
The pandemic and the ever-climbing housing price have exacerbated Toronto's homeless problem. Notably, youth (age 16-24) make up a fast-growing population (11%) of homeless people in Toronto. A hidden population conceals beneath the notoriety of Toronto's youth homelessness is women under age 25, as they represent almost one-half of homeless youth in Canada. Their need for food and shelter often puts them at risk of involvement in sex trades as means of support for basic needs. Furthermore, they carry their own set of challenges for homeless people, but they are also the hardest to reach for support as many fear that institutional intervention will snap their children away from them. Therefore, to make up for the lack of the City's Housing First strategy and the lengthy social housing waitlist, there is a need for supportive, affordable, secure and safe housing that integrates services to bring homeless pregnant women, mothers and children closer to support and strengthen their independence of living in the future. This study introduces a new housing model named Supportive-Coliving to bond and empower homeless single young mothers. It is a type of supportive transitional housing that integrates Co-living characteristics. The study provides a preliminary theoretical grounding for this novel housing concept by investigating its programming, interior design, financial structure, and the mechanism to transition out residents while successfully adhering to the establishing principles. Moreover, the study will identify partnership and funding opportunities and the barriers that hinder Supportive-Coliving development.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 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".