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Dancing with dementia: citizenship, embodiment and everyday life in the context of long-term care

2018· book-chapter· en· W2914637694 on OpenAlexaboutno aff
Pia Kontos, Alisa Grigorovich

Bibliographic record

VenuePolicy Press eBooks · 2018
Typebook-chapter
Languageen
FieldPsychology
TopicDiversity and Impact of Dance
Canadian institutionsnot available
Fundersnot available
KeywordsDementiaCitizenshipEveryday lifeTerm (time)Context (archaeology)PsychologyLong-term careAestheticsSociologyGerontologyPolitical scienceHistoryArtMedicinePsychiatryLawPolitics

Abstract

fetched live from OpenAlex

Despite the critical knowledge base on dance from phenomenological analyses and somatic studies, dance scholarship and practice in the dementia field largely represents a movement towards cognitive science with an emphasis on embodied cognition and psychotherapeutic use of dance. This chapter argues that understanding and fully supporting dance, not as a therapeutic, but rather as a dimension of everyday life, requires a turn to citizenship, specifically to a model that emphasises both embodied selfhood and relationality. The chapter articulates this argument by analysing findings of an ethnographic study of selfhood in Alzheimer’s disease in a Canadian long-term care facility in the context of the relational model of citizenship. Relational citizenship 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.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.044
Threshold uncertainty score0.088

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.013
Scholarly communication0.0060.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.046
GPT teacher head0.299
Teacher spread0.253 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations6
Published2018
Admission routes1
Has abstractyes

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Same venuePolicy Press eBooksSame topicDiversity and Impact of DanceFrench-language works237,207