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Record W1971189507 · doi:10.1177/1077800411401200

The Experience of Engaging With Research-Based Drama: Evaluation and Explication of Synergy and Transformation

2011· article· en· W1971189507 on OpenAlexaff
Gail J. Mitchell, Sherry L. Dupuis, Christine Jonas‐Simpson, Colleen Whyte, Jennifer Carson, Jennifer Gillis

Bibliographic record

VenueQualitative Inquiry · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsUniversity of WaterlooYork University
Fundersnot available
KeywordsDramaExplicationFeelingEmbodied cognitionPsychologyPerspective (graphical)AestheticsSociologySocial psychologyEpistemologyVisual artsArt

Abstract

fetched live from OpenAlex

Researchers describe how audiences experienced a research-based drama called I’m Still Here ; a production about persons and families living with dementia. The research drama was created to help diminish the unnecessary suffering that accompanies the misunderstanding and judgment of persons living with dementia. This article describes the immediate experience of seeing, hearing, and feeling research findings that have been transformed through drama. We explored how participants described the experience of engaging with the drama—what words they used, what was felt, and what lingered after the performance was over. Seven patterns or processes, called patterns of synergy are described: seeing anew; connecting with reverberating truths; placing and relating self; sensing embodied impact, discerning meaningful learning; expanding understanding of perspective; and affirming personal knowing. Each pattern of synergy is considered in light of participant quotes and extant literature. Findings support the promise of the arts in health-related research 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 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)0.025
metaresearch head score (Gemma)0.053
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 score0.025
Threshold uncertainty score0.134

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0250.053
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0050.014
Scholarly communication0.0070.005
Open science0.0020.014
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.901
GPT teacher head0.732
Teacher spread0.169 · 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

Citations53
Published2011
Admission routes1
Has abstractyes

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