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Record W7117022068 · doi:10.1177/14713012251404533

Developing and Sustaining Dementia Capable Communities: An Analysis of the Current Evidence

2025· article· en· W7117022068 on OpenAlexaff
Samantha Biglieri, Neha Ahmed, Sarah Main, Olivia Leslie Tupling, Roslyn Vijayakumar, Jennifer Boger, Christine Daum, Sherry L. Dupuis, Melissa Koch, Kimberley D. Lopez, Jim Mann, Michelle H. Martin, Carrie McAiney, Huda Jamal Nasir, Nada Nasir, Bethany Pearce, Rachel Weldrick, Kathleen Vanderlinden, Laura E. Middleton

Bibliographic record

VenueDementia · 2025
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsRegional Municipality of WaterlooConcordia UniversityWestern UniversityAlzheimer Society of CanadaUniversity of WaterlooToronto Metropolitan University
Fundersnot available
KeywordsDementiaThrivingStigma (botany)Government (linguistics)Community developmentFocus groupSocial stigma

Abstract

fetched live from OpenAlex

Exclusion, marginalization and stigma remain common experiences for people living with dementia. Dementia capable communities offer a pathway to support the wellbeing of people living with dementia by creating spaces where people living with dementia and their care partners are supported and empowered. This review of reviews examines the ideas and approaches for dementia-capable communities across disciplines and at multiple levels of action. Review articles focusing broadly on the development and implementation of dementia capable communities were analyzed for their methods, evidence base, approaches, and recommendations. The results highlighted the importance of engaging and collaborating across different parties, the need to support dementia awareness and address stigma and the key role of policy regulations and planning guidelines in facilitating dementia capable communities. They also noted the need to have a focus on the built environment and making it easier for people living with dementia to navigate the community. The importance of social and community based supports in promoting connection and wellbeing was also brought forward. Systemic critical analysis of the public policy and political conditions that would be needed for the development and maintenance of dementia capable communities was missing. Development of thriving communities where people living with dementia are supported and included will require contending with these challenges.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.380

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.059
GPT teacher head0.392
Teacher spread0.333 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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