THROUGH THEIR LENS: A PHOTOVOICE STUDY OF OLDER ADULTS’ EXPERIENCES OF ACCESSIBILITY AND AGING IN COMMUNITY
Bibliographic record
Abstract
Abstract The objective of this research is to explore the lived experiences and perceptions of older adults in relation to aging in community and accessibility to social, physical, and community resources. Photovoice was used as the methodology for this study so that older adults could take pictures of people, places or things that might shed light on what is most important to them and their experiences of accessibility and aging in their respective community. Findings present qualitative themes with thirteen older adults in seven neighbourhoods in Calgary, Canada including planning for the future; convenient access to resources and services; importance of ethno-cultural supports and diversity; affordability; and importance of cultivating connection. These themes demonstrate that aging in place requires older adults to proactively anticipate and plan for the aging process. Moreover, aging in community for older adults means having access to physical resources that are convenient and in close proximity. Additionally, improving access to ethno-cultural resources and language supports enhances older adults’ sense of safety and belonging. Older adults highlight an importance of having a diverse group of community members encompassing different ages, ethno-cultural backgrounds, and ability levels. Affordable resources and supports are essential for older adults to maintain a fulfilling and independent lifestyle within their built and social environments. Lastly, older adults seek social connection and belonging, but limited access to social supports can lead to social isolation and disconnection from their community.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".