Co-caring in senior cohousing: A Canadian model for social sustainability
Bibliographic record
Abstract
Senior cohousing creates socially, financially, and environmentally sustainable communities for the second half of life. Common facilities include housing for a caregiver whom residents hire as needed. Members provide mutual assistance for each other (co-caring) that encourages wellbeing and aging in place. Like multi-generational cohousing these are intentionally cooperative neighbourhoods where each household owns its small but complete home and spacious common facilities are shared. Well-established in Europe, senior cohousing is new to North America and the UK. This paper focuses on Harbourside Cohousing under development in Sooke, BC, and on the innovative Royal Roads University course that attracts new members to the cohousing and raises awareness of aging options in the larger community. Harbourside will be the second senior cohousing in Canada, the first with a care-giver suite, and the first to require a short course on Aging Well in Community as a prerequisite for membership. Experiential learning in the course helps people to get out of denial about growing older. They explore how cocaring can ensure social connection with their community and help them stay in cohousing and out of institutional care as they age. They become a force for change in the larger society redefining aging and elder housing. Co-caring is a grassroots model of neighbourly mutual support that can help reduce social isolation and promote positive, active aging. It encourages independence through awareness that we are all interdependent. In a senior cohousing community, giving and receiving cocare is entirely voluntary. Members may choose to support each other through such activities as doing errands, driving, cooking, or going for a walk with a neighbour. Being good neighbours helps people age well in community and have fun doing it! The course on aging well in community and the participatory development process at Harbourside are creating community two years before move-in. The paper concludes with lessons learned from this prototype and suggests how to begin scaling up senior cohousing as� a� radical� social� innovation� to� respond� to� the� ‘silver� tsunami’� of� aging� baby� boomers.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.027 | 0.011 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 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".