Planning for Seniors Housing in Changing Cities: Lessons Learned From a Cross-National Exchange
Bibliographic record
Abstract
Abstract Across North America, a growing number of older adults have a core housing need and lack access to affordable, suitable or adequate housing. Although federal, state/provincial and local backdrops vary across Canadian and American contexts, seniors’ housing providers in both countries face similar challenges and must develop innovative policy and program responses to help older adults age in place. We hosted an international seniors’ housing conference to create a platform for cross-national collaboration among multidisciplinary seniors housing experts. This event offered an opportunity to exchange best practices, emerging research, and policy solutions, and establish a set of shared priorities for advancing seniors housing that were applicable to two nations with different social systems. This paper will reflect on the exchange of knowledge and best practices related to housing preservation, eviction prevention, and access to supports during COVID-19, and the lessons learned fostering a cross-national collaborative network of seniors housing experts.
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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 | 0.046 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.005 |
| Scholarly communication | 0.009 | 0.010 |
| Open science | 0.004 | 0.026 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.008 | 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".