Building community capacity for dementia in Canada: new directions in new places
Bibliographic record
Abstract
This chapter describes a project in which researchers, community programs, and people living with dementia are working together to promote social inclusion, raise awareness and reduce stigma around dementia. Guided by principles of social citizenship, the Building Capacity Project (2019–2023) is implementing an asset-based community development approach to build and connect community-based activities that provide opportunities for people with dementia to be involved and to contribute in meaningful ways. The project takes place in two Canadian cities: Vancouver, located in the densely urbanized southwestern region of British Columbia, and Thunder Bay, a regional centre located in the rural and remote region of northwestern Ontario. Taking a ‘ground-up’ approach to implementation in these two distinct geographic contexts provides opportunity to consider and analyze the importance of <italic>common principles</italic> and <italic>local tailoring</italic> . The implementation and evaluation design is described, and projects activities and early learnings are explored.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.004 |
| 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".