Integrating Citizenship, Embodiment, and Relationality: Towards a Reconceptualization of Dance and Dementia in Long-Term Care
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
Dance, as aesthetic self-expression, is a unique arts-based program that combines the physical benefits of exercise with psychosocial therapeutic benefits. While dance has also been shown to support empowerment, meaningful self-expression, and pleasurable experience, it is rarely adopted to support these aspects of engagement in the context of dementia care. The instrumental reduction of dance to its application as a therapeutic tool can be traced to the contemporary movement towards cognitive science with an emphasis on embodied cognition. This has effectively elided a consideration of how the body itself, separate and apart from cognition, could be a source of intelligibility, inventiveness, and creativity. We argue for the need to broaden the therapeutic model of dance to more fully support embodied and creative self-expression by persons living with dementia. To achieve this, we explore how a relational model of citizenship that recognizes corporeality and relationality as fundamental to human existence brings a new and critical dimension to understanding the importance of dance in the context of dementia. Drawing on this model, we articulate a new kind of ethic characterized by a pre-reflective intercorporeal sensibility that requires the mobilization of public structures and practices to cultivate a relational environment for individuals living with dementia that supports human flourishing.
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 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 | 0.002 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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