Evaluating Spaces for Older Adults Experiencing Homelessness: Findings From an Environmental Audit
Bibliographic record
Abstract
Abstract Homeless populations require spaces and services that take into account their life trajectories. The Aging in the Right Place - Environmental Checklist (AIRP-ENV) is an environmental audit tool developed by our team to evaluate the accessibility and overall design features of housing targeted for aging individuals experiencing homelessness. Researchers in Vancouver, Calgary and Montreal employed this tool in 2021 to evaluate environmental features in selected promising practices to identify built environment factors that promote aging in the right place. Preliminary findings reveal the following themes across sites: access to communal and recreational spaces encourage social inclusion and meaningful recreation opportunities; barrier-free built environment features foster independence and safety; and access to services and amenities encourage community mobility. Findings demonstrate a need to employ a broader evaluative lens that incorporates psycho-social factors to gain a nuanced understanding of aging in the right place for older adults who have experienced homelessness.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".