Older Adults with Hoarding Behaviour Aging in Place: Looking to a Collaborative Community-Based Planning Approach for Solutions
Bibliographic record
Abstract
This paper reports on and synthesizes new research that examines how a collaborative community response can promote successful aging in place for older adults with hoarding behaviour. Through interviews with older adults with hoarding behaviour, who used a particular community support and a focus group interview with members of the community collaborative that directed supports for this population, our findings suggest that there were valuable outcomes for both groups. These older adults with hoarding behaviour were able to remain in their own homes, their safety was enhanced, their sense of isolation was minimized, empowerment was fostered, and they gained valuable insight into their behaviour. The members of the community collaborative were able to access the expertise of other professionals, maximize their own expertise, and they generated an enhanced understanding of the experience of older adults living with hoarding behaviour in Edmonton. This study is a significant addition to the much too sparse literature about the community planning needs of older adults with hoarding behaviour. It offers knowledge that is integral to theories and principles of better aging in place but attempts to translate this into practice.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".