SOCIAL ISOLATION AND OLDER ADULTS: UNDERSTANDING THEIR EXPERIENCE
Bibliographic record
Abstract
Abstract This presentation will focus on a unique undertaking where three provincial organizations in Saskatchewan, Canada implemented nine projects to address social isolation for rural and urban older adults across a geography that encompasses one-half of the province. A survey of older adults was conducted to assess their level of social isolation in order to gain a more thorough understanding of the experiences of social isolation among community dwelling older adults. Key variables of interest included: older adult access to services and supports, participation in activities, feelings of being valued by others, barriers to supports and services, and the overall isolation experienced by older adults. The responses from 1,719 urban and rural older adults indicate that 24.1% of respondents felt that they lack support, 17.2% feel less connected to family and friends, and 16.8% of respondents do not feel valued by their friends and family. Overall, almost one-quarter (23.9%) of the survey respondents score ‘high’ or ‘medium’ on a Social Isolation Index. One-third of respondents report they experience barriers to participation in activities outside the home. Several key categories of barriers were identified: health, personal, environmental, social, transportation and systemic. Respondents identified accommodation, services, practices, and activities as areas where their community could assist in participation of community activities outside of the home. Social isolation can have serious health consequences for older adults. The results of this survey highlight several key areas that older adults identify as important for reducing their feelings of isolation and enhancing their overall health and well-being.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| 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".