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Record W4224988051 · doi:10.3138/ctr.190.012

Performing the Lived Experience of Dementia: Revealing Humanity through Evidence-Based Collaborative Creation

2022· article· en· W4224988051 on OpenAlexvenueno aff
Julia Henderson, Colleen E. Reid, Bruce Devereux, Chad Hershler, Sadie Watt

Bibliographic record

VenueCanadian Theatre Review · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicArt Therapy and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsCitizen journalismDementiaLived experienceThe artsParticipatory action researchWork (physics)SociologyPedagogyVisual artsPerforming artsPublic relationsPsychologyNursingMedical educationMedicineEngineeringArtPolitical sciencePsychotherapist

Abstract

fetched live from OpenAlex

Raising the Curtain on the Lived Experience of Dementia (RTC) is a five-year collaboration between education, arts, and health care that uses community-based, arts-engaged, participatory research approaches, including theatre, to work with participants with the lived experience of dementia. This article is based on interviews with the three project leads as well as one project participant, and details RTC’s key elements of creative practice, its core values that influence collaborative creation processes, and the ways RTC differs from common models of working with people living with dementia. Examples of the project’s theatre and performance activities and practices are woven throughout.

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)0.035
metaresearch head score (Gemma)0.030
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 score0.083
Threshold uncertainty score0.186

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0350.030
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.004
Science and technology studies0.0180.062
Scholarly communication0.0230.010
Open science0.0050.020
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0040.001

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 head0.120
GPT teacher head0.328
Teacher spread0.208 · 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

Citations3
Published2022
Admission routes1
Has abstractyes

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