Exploring the Sustainability of Age-Friendly Initiatives in a Canadian Province
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Based on the World Health Organization Age-Friendly Cities and Communities (AFCC) framework, the government of Manitoba, Canada, launched a province-wide age-friendly initiative in 2008. The objective of this study was to explore the sustainability of the AFCC initiative more than a decade later. The study was guided by conceptualizations of sustainability as multidimensional and dynamic, composed of 4 aspects (continued capacity, institutionalization, continued benefits, and development/adaptation), and an ecologic perspective that highlights the importance of contextual influences, and their change over time, on AFCC activities. RESEARCH DESIGN AND METHODS: The study involved a qualitative, multiple case study design. Semistructured interviews were conducted in 2020 with a key informant from each of 52 AFCC. Interview data were analyzed deductively, guided by the sustainability framework and an ecologic perspective. Census data were used to describe the demographic characteristics of AFCC. RESULTS: We identified 6 groups of AFCC initiatives that varied in degree from the most to the least sustainable: active, in hiatus, reorganized, stalled, discontinued, and never got off the ground. Both local community factors (e.g., lack of capacity) and broader contextual factors, such as demographic changes and provincial legislations, influenced initiatives' sustainability. DISCUSSION AND IMPLICATIONS: AFCC initiatives can range in their degree of sustainability and can wax or wane over time. Ongoing external support for AFCC (e.g., from provincial or state government) to promote the vision of age-friendliness and to address lack of capacity (e.g., to assist with community assessments) could help with the long-term sustainability of initiatives.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".