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Record W1946391679 · doi:10.1080/14927713.2015.1086584

“We all carry each other, sometimes”: care-sharing as social justice practice in integrated dance

2015· article· en· W1946391679 on OpenAlexaffvenue
Lindsay Eales, Donna L. Goodwin

Bibliographic record

VenueLeisure/Loisir · 2015
Typearticle
Languageen
FieldPsychology
TopicDiversity and Impact of Dance
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsDanceInjusticeNegotiationSociologyContext (archaeology)RecreationPublic relationsEconomic JusticePsychologySocial psychologyPolitical scienceSocial scienceVisual artsLaw

Abstract

fetched live from OpenAlex

In this article, we explore how one integrated dance community engages in everyday practices of care-sharing as a form of social justice. The notion of care-sharing emerged from a performance ethnography in which 12 dancers co-created a research-based integrated dance. For this community, integrated dance is a recreational and pre-professional art practice that is inclusive of people with a wide range of embodiments and capacities, including those experiencing disability. Within this dance context, disability is not regarded as a bodily problem in need of therapy, but as a matter of social injustice. To navigate these and other forms of social injustice, dancers practised care-sharing, which involved: life-sustaining, communal acts of radical interdependence; practices of consensus-building and the sharing of discomfort; and a commitment to negotiating complex power relations. We conclude by sharing some points of learning, hoping that they may offer new perspectives on therapeutic recreation research and practice.

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)0.009
metaresearch head score (Gemma)0.009
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: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0270.077
Scholarly communication0.0130.009
Open science0.0030.027
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0030.000

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 head0.065
GPT teacher head0.367
Teacher spread0.302 · 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

Citations12
Published2015
Admission routes2
Has abstractyes

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