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Record W4404094525 · doi:10.1080/02697459.2024.2425249

Perspectives of municipal professionals on adopting a dementia-friendly and inclusive approach in urban planning and design in British Columbia, Canada

2024· article· en· W4404094525 on OpenAlex
Kishore Seetharaman, Habib Chaudhury, Atiya Mahmood, Alison Phinney, Richard Ward

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePlanning Practice and Research · 2024
Typearticle
Languageen
FieldHealth Professions
TopicAging, Elder Care, and Social Issues
Canadian institutionsUniversity of British ColumbiaSimon Fraser University
FundersAlzheimer Society
KeywordsDementiaUrban planningEnvironmental planningTown planningUrban designPublic administrationPolitical scienceSociologyCivil engineeringEngineeringGeographyMedicine

Abstract

fetched live from OpenAlex

An accessible and navigable neighbourhood physical environment is a critical part of dementia-friendly and inclusive communities (DFCs). Municipalities in British Columbia (B.C.), Canada have committed to the vision of DFCs with action plans outlining priorities in planning, design, engineering, and services. City planners and designers play an instrumental role in implementing these plans. Our study aims to understand their needs and challenges in implementing dementia-inclusive planning and design. Semi-structured interviews were conducted with 16 planners and designers in Metro Vancouver, B.C. Findings reflect two broad themes: 1) augmenting DFC-related knowledge and awareness and 2) integrating DFC approach in general planning and design.

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.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.356
Threshold uncertainty score0.745

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.098
GPT teacher head0.473
Teacher spread0.375 · 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