Development and initial feasibility testing of an intergenerational cooking and nutrition program for persons with dementia and young adults: Preliminary results
Bibliographic record
Abstract
BACKGROUND: Intergenerational programs provide an opportunity to connect generations. Currently, there are few community-based programs that combat dementia stigma, and few food-based opportunities for connecting community-dwelling persons living with dementia (PWD) with youth. Cooking Together is a collaboratively designed and tested intergenerational cooking and nutrition program. The aim of this study was to identify and develop components that would be meaningful and acceptable to potential end users (phase 1) and conduct a feasibility test (phase 2). METHOD: Phase 1 interviewed (n = 11) youth (14-19 years) and PWD and care partners dyads to inform design of the proposed program and identify potential benefits. The phase 2, 4-week prototype was tested with 15 participants, who had not participated in phase 1 development. Phase 2 participants included those from a dementia day program (n = 8), day program facilitators (n = 3), and youth (n = 4; 18-30 years). Data collection included participant observation notes (e.g., engagement, feasibility issues) and interviews (n = 10) focused on improvements, participant experience, and potential outcomes. Content analysis was used to summarize findings. RESULT: Findings from phase 1 identified important components to include in the prototype for phase 2 testing. For example, potential challenges included daytime scheduling for youth under 18 years. Suggested benefits included socialization for PWD, and dementia education for youth. The phase 2 prototype was found to be feasible. Participants identified potential outcome measures and feedback led to refinement of the model for future feasibility pilot testing. CONCLUSION: An intergenerational cooking and nutrition program for community-dwelling PWD and young adults (18-30 years) was created and a prototype demonstrated interest in the program and outcomes that should be measured.
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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 | 0.011 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".