Community‐University Partnerships for Successful Aging Research: The Canadian SuperAging Research Initiative Site
Bibliographic record
Abstract
BACKGROUND: SuperAgers-individuals aged 80 and older who perform episodic memory tasks at least as well as those 20 to 30 years younger-provide valuable insights into cognitive resilience and resistance to neurodegeneration. The SuperAging Research Initiative (SRI), led by researchers at the University of Chicago, aims to advance research on SuperAgers, particularly emphasizing increasing Black representation in aging studies. In 2022, the SRI established its first Canadian site at Western University in partnership with the University of Waterloo and Sunnybrook Research Institute, capitalizing on the province's historical significance in Black migration to Canada alongside Western's leadership in aging research. This presentation will outline a strategic university-community partnership for recruiting and retaining SRI participants in Canada. METHOD: In 2023, we commenced recruiting and enrolling a targeted sample of 100 Canadian SuperAgers and controls. Western University is the lead enrollment site. In collaboration with community partners, Western Media/Communications teams, the SRI sites, and SuperAging participants, we developed a multifaceted community-engaged research (CER) strategy and branding campaign tailored to the Canadian consortium. RESULT: We facilitated 16 media appearances and organized five community events. We trained SRI participant volunteers to serve as ambassadors, engaging with organizations, hosting information sessions, and co-designing marketing materials. Through this campaign, thirteen new strategic partnerships emerged with faith communities, political and community leaders, social clubs, historical societies, medical practices, libraries, and community centers. CER efforts attracted interest from 121 age-eligible individuals, with 55 completing at least one baseline visit, exceeding our 50% enrollment target, with 0% attrition of eligible participants at two-year follow-up. Half of the study enrollments are directly attributed to SRI ambassador activities. Highlighting the persistence required to establish community partnerships, the first Black participant enrolled twenty months after site approvals. CONCLUSION: These findings underscore the effectiveness of a multifaceted strategy for recruiting healthy octogenarians and nonagenarians. They also emphasize the importance of involving community partners and peer ambassadors in recruitment and retention efforts. Importantly, our experiences highlight the time and significant resources necessary to cultivate and maintain partnerships and community trust for the successful engagement of individuals 80 and older in research, particularly those from diverse communities.
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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 | 0.014 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.029 | 0.004 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.035 | 0.005 |
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".