Reframing "Aging in Place" to "Aging in Community": Exploring Innovative Models to Support Aging in Place in British Columbia
Bibliographic record
Abstract
British Columbia (B.C.) currently has the fastest growing rate of seniors compared to any other jurisdiction across Canada. While the senior population is diverse, a commonality that exists among seniors is their desire to continue to age within their homes and communities. However, the accessibility and availability of home support services, as well as issues in housing are creating barriers, and continue to contribute to premature placement into residential care, caregiver burnout, and overuse of acute care services. A literature review was conducted to assess the current state of home support and housing in B.C., and possible solutions are explored drawing on two innovative community based models of aging in place (Village model and Naturally Occurring Retirement Communities, Supportive Service Program). Reframing ‘aging in place’ to ‘aging in community’ by emphasizing social capital offers possible solutions to support B.C seniors to age healthily and safely with in their homes and communities.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".