The Impact of Cohousing on Older Adults’ Quality of Life
Bibliographic record
Abstract
The global population including Canada's is aging, which demands planning for housing that will support older adults' quality of life. This mixed-method study is the first Canadian study to examine the impact of cohousing on older adults' quality of life and involved 23 participants. The older adults rated their quality of life very high, especially in the environmental, physical, and psychological domains of the World Health Organization Quality of Life (WHOQOL_BREF) survey; quality of life in the social domain was rated low, which was surprising in light of the focus group data findings. Four themes of "belonging in a community", "life in the community", "changes associated with aging," and "aging in place" emerged from the qualitative data to explain factors that influence older adults' quality of life. This research provides foundational, strong evidence that seniors' cohousing is an innovative housing solution that can support older adults' quality of life.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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".