Coming of Age: Reimagining the Response to Youth Homelessness in Canada
Bibliographic record
Abstract
The goal of this report is to present an argument for approaching how we respond to youth homelessness in a new way. The report achieves this by pulling together key information about youth homelessness, to better inform how we respond to the problem. As a peer-reviewed research document, Dr. Gaetz draws on an existing base of research in Canada, the United Kingdom, Australia and the United States, in order to identify effective approaches to youth homelessness policy and practice. The report also draws heavily on several previous works by Dr. Gaetz, including Live, Learn, Grow: Supporting Transitions to Adulthood for Homeless Youth - A Framework for the Foyer in Canada, and several chapters from the book Youth Homelessness in Canada: Implications for Policy and Practice and in particular, the concluding chapter Ending Youth Homelessness in Canada is Possible: The Role of Prevention. \n \nWhile this is a research report that will appeal to academics, the intended audience is much broader. It has been written in a way to appeal to students, service providers, policy makers and the general public. The key arguments are intended to help inform decision-making in government, communities, and social service agencies. As a research document, it provides an evidentiary base for creating more effective responses to youth homelessness. As a public document, it is intended to inspire change and innovation, with the ultimate goal of contributing to real and effective solutions to youth homelessness in Canada.
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 | 0.007 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.036 | 0.010 |
| Scholarly communication | 0.013 | 0.004 |
| Open science | 0.007 | 0.011 |
| Research integrity | 0.005 | 0.010 |
| Insufficient payload (model declined to judge) | 0.007 | 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".