Exploring traditional roles of first nation older adults to promote the quality of life for those experiencing alzheimer's disease and related dementia's
Bibliographic record
Abstract
The emergence of Alzheimer's disease and related dementia’s (ADRD) in Indigenous \npopulations across Canada is a rising concern as prevalence rates exceed those of non- \nIndigenous populations. Culturally appropriate approaches to address the increased \nprevalence of ADRD are guided by the Indigenous Wholistic Theory and the \nIntergenerativity Model. Community-based participatory action research led by \ninterviews, focus groups and program observations aid in identifying barriers and \nfacilitators of success for intergenerational social engagements in the Anishinaabe \ncommunity of Wikwemikong, Ontario. A qualitative thematic analysis guides future \nrecommendations for programming opportunities to foster traditional roles of older First \nNation adults and intergenerational relationships. This project results in culturally \nappropriate suggestions to improve healthy brain aging in older populations through \nincreased social interactions with youth and the nurturing of traditional roles. The results of this study are relevant to other Indigenous communities who may wish to adopt the framework to their own community context.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| 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".