Being and Doing Together in a Naturally Occurring Retirement Community: Pandemic Experiences of Older Adults
Bibliographic record
Abstract
Developing effective, sustainable strategies that promote social inclusion, reduce isolation, and support older adults' wellbeing continues to be important to aging communities in Canada. One strategy that targets community-living older adults involves identifying naturally occurring retirement communities (NORCs) and supporting them through supportive service programs (NORC-SSPs). This qualitative descriptive study utilized semi-structured interviews to explore how older adults living in a NORC supported by an SSP, sought to build, and maintain, a sense of community during the COVID-19 pandemic. Analysis revealed how changes in context prompted changes in the program and community, and how despite lack of in-person opportunities participants continued to be together and do occupations together in creative ways that supported their sense of community. NORC-SSPs, like Oasis, play an important role in supporting older adults' capacity to build strong, resilient communities that support wellbeing, during a global pandemic and in non-pandemic times.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.007 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| 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".