Improving social inclusion for people with dementia and carers through sharing dance: a qualitative sequential continuum of care pilot study protocol
Bibliographic record
Abstract
INTRODUCTION: This study examines the potential of dance to improve social inclusion for people living with dementia and carers. Research suggests that arts-based programmes can improve the health of people living with dementia and carers; however, little is known about how these programmes might address barriers to social inclusion. Addressing barriers requires the development and evaluation of accessible, non-stigmatising and affordable programmes that facilitate social inclusion across the continuum of institutional, community and household care settings. METHODS AND ANALYSIS: The study involves a qualitative sequential pilot study of the innovative Baycrest NBS Sharing Dance Seniors programme underway in non-metropolitan regions of two Canadian provinces. It focuses on the remotely instructed delivery of the programme in care facilities, community centres and households. The study involves five phases of observations, diaries, focus groups and interviews with programme participants (people living with dementia), carers, coordinators, instructors and volunteers as well as critical reflections among research investigators and knowledge users. NVivo-based thematic and narrative analyses of the qualitative data will produce new knowledge about the experiences, effectiveness and challenges of the dance programme that will inform understanding of whether and in what ways it increases social inclusion and quality of life for older people living with dementia and carers. The findings will identify opportunities for programme expansion and support the further development of arts-based approaches. ETHICS AND DISSEMINATION: The study is approved by the Research Ethics Boards at Trent University and Brandon University, and by participating organisations according to their governance procedures. The perspectives of people living with dementia and carers are incorporated throughout the study (from design to dissemination) and the study adheres to the ethical considerations when including people with dementia. A series of publicly available reports, seminars and symposia will be undertaken in collaboration with knowledge user and collaborating organisation partners.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.039 | 0.021 |
| Meta-epidemiology (narrow) | 0.002 | 0.003 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.046 | 0.007 |
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 source (direct Gemma or distilled Codex), 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".