Opportunities and Challenges of Digital Delivery of Sharing Dance Seniors for Social Inclusion
Bibliographic record
Abstract
Older people, especially those living with dementia, experience significant barriers to meaningful participation in their communities. Focusing on the expansion of an arts-based program to address social inclusion for older people via information communication technology (ICT), this paper identifies the challenges and opportunities of the digital delivery of the Baycrest NBS Sharing Dance Seniors program, a weekly dance class professionally instructed via online-streamed video and facilitated in-person in community and institutional care settings. Findings are drawn from older people and career experiences in community-based, multi-method pilot studies in the Peterborough Region, Ontario, and the Westman Region, Manitoba (2017-19) Canada. Through observations, diaries, focus groups, and interviews featuring the experiences of program instructors, participants, carers, administrators, facilitators, and volunteers, the challenges and opportunities presented by the digital delivery of the Sharing Dance program are analyzed as they relate to understanding social connectivity and relational and multi-dimensional influences on social inclusion. Findings point to the key role of facilitators and in-person support, with implications for the development of social resources and facilitator training in community and institutional settings.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".