Engagement of Persons with Dementia in Public Consultations: Process Evaluation
Bibliographic record
Abstract
Engagement of persons living with dementia in public consultations is central to the development of dementia-friendly communities (DFC). However, due to a lack of resources and expertise in how to support their involvement, persons living with dementia are not always involved in processes for planning the development and implementation of DFC initiatives. To better understand processes and methods that facilitate the engagement of persons living with dementia in public consultations, we evaluated the public consultation processes of a Canadian DFC initiative. A partially mixed-methods sequential equal status design guided this process evaluation. Data sources included surveys completed by public consultation participants, focus groups with members of the group that led the public consultation process, and the report that outlines consultation findings. Study results highlight the strengths and limitations of the public consultations and include recommendations for engaging persons living with dementia in public consultations. Results emphasize the importance of including persons living with dementia in DFC initiatives as project partners and public consultation participants.
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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 | 0.030 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".