CHOREOGRAPHIES OF CITIZENSHIP: TOWARDS A RECONCEPTUALIZATION OF DANCE, DEMENTIA, AND EVERYDAY LIFE
Bibliographic record
Abstract
There is a growing literature that argues for the value of dance as an embodied practice for persons with dementia, as it draws significantly on the body’s potentiality for innovation and creative action and significantly supports non-verbal communication and affect. Despite the critical knowledge base on dance from phenomenological analyses and somatic and performance studies, dance scholarship and practice in the dementia field largely represent a movement towards cognitive science with an emphasis on embodied cognition and psychotherapeutic use of dance. This has restricted understanding of dance in dementia and has consequently limited the development of opportunities to more fully support this embodied form of self-expression in long-term care settings. We articulate this argument by analyzing findings of an ethnographic study of selfhood in Alzheimer’s disease in a Canadian long-term care facility in the context of a relational model of citizenship. Specifically we focus on findings that feature self-expression through dance in the context of everyday life in long-term residential care, specifically during recreational and religious social programs, and non-structured activities. We argue that these examples can more fully be understood and supported with a relational model of citizenship that recognizes that corporeality is a fundamental source of self-expression, interdependence, and reciprocal engagement. This model brings a new and critical dimension to understanding self-expression through dance by persons with dementia, while also addressing broader issues of inclusivity and the ethical imperative to fully support dance through institutional policies, structures and practices.
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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 | 0.000 | 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 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".