Dancing With Dementia: Exploring the Embodied Dimensions of Creativity and Social Engagement
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.
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Dance is increasingly being implemented in residential long-term care to improve health and function. However, little research has explored the potential of dance to enhance social inclusion by supporting embodied self-expression, creativity, and social engagement of persons living with dementia and their families. RESEARCH DESIGN AND METHODS: This was a qualitative sequential multiphase study of Sharing Dance Seniors, a dance program that includes a suite of remotely streamed dance sessions that are delivered weekly to participants in long-term care and community settings. Our analysis focused on the participation of 67 persons living with dementia and 15 family carers in residential long-term care homes in Manitoba, Canada. Data included participant observation, video recordings, focus groups, and interviews; all data were analyzed thematically. RESULTS: We identified 2 themes: playfulness and sociability. Playfulness refers to the ways that the participants let go of what is "real" and became immersed in the narrative of a particular dance, often adding their own style. Sociability captures the ways in which the narrative approach of the Sharing Dance Seniors program encourages connectivity/intersubjectivity between participants and their community; participants co-constructed and collaboratively animated the narrative of the dances. DISCUSSION AND IMPLICATIONS: Our findings highlight the playful and imaginative nature of how persons living with dementia engage with dance and demonstrate how this has the potential to challenge the stigma associated with dementia and support social inclusion. This underscores the urgent need to make dance programs such as Sharing Dance Seniors more widely accessible to persons living with dementia everywhere.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it