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Record W4408041551 · doi:10.1080/17533015.2025.2469676

Transitioning relational arts for persons living with dementia to a virtual space

2025· article· en· W4408041551 on OpenAlex

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.

Bibliographic record

VenueArts & Health · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicArt Therapy and Mental Health
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsDementiaSpace (punctuation)The artsPsychologyVirtual spaceLiving spaceGerontologyDevelopmental psychologyVisual artsMedicineSociologyComputer scienceArtArtificial intelligence

Abstract

fetched live from OpenAlex

Background While a growing body of literature explores the potentials and challenges of transitioning in-person to online arts for persons living with dementia (PLwD), little research has examined the translation of relational arts to virtual spaces. This paper explores the experiences and transition of a relational arts Academy to a virtual space for community artists with dementia.Methods Using participatory action research, we conducted 10 research conversations with artist facilitators, collaborators, and leaders involved in the transition process, and 13 observations of online arts sessions and team member huddles.Results Team members successfully translated relational arts virtually by intentionally embedding relational literacies, leveraging relational supports, and embracing creativity. Although initially reluctant, artist facilitators, collaborators, and leaders were opened to the possibilities of relational arts in virtual spaces.Conclusion This research demonstrates the feasibility of relational arts for PLwD in virtual spaces, and offers insights to inform other virtual art programs for PLwD and their care partners.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.957
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.044
GPT teacher head0.296
Teacher spread0.252 · 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