Leading the Way: Reimagining Federal Leadership on Preventing Homelessness
Bibliographic record
Abstract
Before us is a significant opportunity to reimagine the federal government’s leadership role in homelessness. After more than 25 years of declining spending on affordable housing, the Government of Canada is launching a National Housing Strategy (NHS) with a 10-year investment in expanding the supply of affordable housing and enhancing sustainable longterm housing outcomes for Canadians. A key pillar of the NHS will be a renewal and redesign of the existing Homelessness Partnering Strategy. \n \nThe last renewal of HPS in 2013 saw the Government of Canada play an important leadership role in mobilizing the results of the At Home/Chez Soi study to expand the implementation of Housing First across Canada – in essence, opening the back door to homelessness. \n \nAs we turn towards a reimagined national strategy on homelessness, the Government of Canada has an opportunity to show leadership by closing the front door, through supporting a shift to homelessness prevention. This means stopping the flow of individuals and families into homelessness, and at the same time being unwilling to wait for such persons to find themselves in desperate situations — situations that can cause irreparable harm — before we help them exit homelessness. The renewed national strategy on homelessness can help make the shift to prevention through supporting communities to act quickly and creatively, to prevent homelessness before it ever begins. \n \nToward this end, the Canadian Observatory on Homelessness (COH) submits a bold vision for a national initiative on homelessness prevention, within a new national strategy on homelessness. The vision presented here can assist the Government of Canada in its commitment to preventing and ending homelessness for generations to come. \nIn this brief we cover the following: \n \n - What is homelessness prevention? \n - Can the Government of Canada play a leadership role in homelessness prevention? \n - How can the prevention of homelessness be prioritized within a reimagined national strategy on 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 | 0.015 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.028 | 0.012 |
| Scholarly communication | 0.014 | 0.007 |
| Open science | 0.004 | 0.012 |
| Research integrity | 0.014 | 0.021 |
| Insufficient payload (model declined to judge) | 0.023 | 0.003 |
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".