Designing Homes for Seniors:The ‘Ins’ and ‘Outs’ of an Affordable Housing Project in Western Canada
Bibliographic record
Abstract
Aging in place, at home and in familiar community surroundings, is important for maintaining wellbeing in later life. However, aging in place may not always consist of positive experiences for some older adults. For example, forced relocation, a byproduct of some neighbourhood redevelopments can impede aging in the right place. If seniors are to be supported well, then developing age-friendly communities as a part of neighbourhood regeneration initiatives requires careful consideration of affordability, access to social support and resources, and opportunities for social engagement, especially in communities characterized by diverse cultural groups. This article provides an overview of the redevelopment process highlighting the logistical details and built features an of affordable seniors’ redevelopment initiative in Western Canada. The main focus is to provide audiences with an understanding of the practical aspects of the project including: building and land planning, negotiations with multiple stakeholders, application and engagement process with tenants, decision-making for key building design features as well as key research and evaluation components.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 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".