Developing an Accessibility Index to Inform Housing First Policy: A Critical Evaluation of Social Services in Edmonton
Bibliographic record
Abstract

 
 
 Unique among housing initiatives, Housing First operates on the principle that every person has the right to a safe and secure home regardless of housing readiness. The Housing First Support Program, operated by Homeward Trust Edmonton, is currently providing over 2,500 Edmontonians with secure housing and the supports needed in the transition from homelessness into housing. The program is intended to last 12 months, gradually reducing a client’s support untilthey are self-sufficient; however, this may be difficult for some clients, especially if they experience poor accessibility to the services and amenities they require to achieve housing stability. In particular, youth experiencing homelessness require supports that are tailored to their needs and that aid in the transition from adolescence to adulthood. As youth make up 17% (n=312) of Housing First clients, it is imperative that the services, centres, and supports necessary to breaking the cycle of homelessness are accessible to them at this critical stage in development. With this project, we mapped the locations of current Housing First clients aged 12-24 in relation to the services and amenities they may require to achieve housing stability. After identifying these services and amenities, we used a gravity model to create an Accessibility Index. This Accessibility Index highlights the service accessibility of current Housing First clients, and can be used in the future to identify areas of need and opportunities for increasing accessibility.
 
 
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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 | 0.053 | 0.058 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.006 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".