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Embodied interpretation: Assessing the knowledge produced through a dance-based inquiry

2016· article· en· W2569566106 on OpenAlexaff
Yukari Seko, Trish Van Katwyk

Bibliographic record

VenueAotearoa New Zealand Social Work · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicArt Therapy and Mental Health
Canadian institutionsUniversity of WaterlooUniversity of Guelph
Fundersnot available
KeywordsDanceEmbodied cognitionThe artsMeaning (existential)PsychologyImprovisationInterpretation (philosophy)FeelingSociologyNormativePerforming artsThematic analysisAction (physics)Social psychologyAestheticsQualitative researchVisual artsEpistemologySocial science

Abstract

fetched live from OpenAlex

INTRODUCTION: Although the field of social work has experienced an exponential increase in the use of arts-based methodology, the way in which knowledge shared through artful presentations is understood by audience members remains understudied. As arts-based inquiry often involves active co-construction of meanings between researchers, participants and audiences, it is crucial for social work researchers to scrutinise the process of meaning making by audience members. In this article, we explore how audience members make sense of research findings presented through improvisational dance and how the provision of information about the dance may influence viewer responses.METHODS: A personal experience with self-injury documented in a creative poem was represented through the performance of improvisational dance pieces and assessed by two groups of viewers, with and without knowledge of the topic of the dances. The viewers were prompted to interpret the dances by reflecting on the feelings, thoughts and perceptions they had while watching the performance. A thematic analysis was conducted to compare and contrast the responses of the two groupsFINDINGS: By comparing the interpretations of informed and uninformed viewers, we suggest that interpretation can be influenced by normative, socially constructed assumptions that hinder empathic and action-inspiring engagement.CONCLUSION: We conclude the article with a discussion of potential implications for social work research, practice and education.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.701
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.074
GPT teacher head0.337
Teacher spread0.263 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations4
Published2016
Admission routes1
Has abstractyes

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