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Record W3177324875 · doi:10.1080/17533015.2021.1942093

Using the performance arts to address a “methods gap” in dementia research

2021· article· en· W3177324875 on OpenAlexaff
Christine Novy, Roanne Thomas, Linda Garcia, Wendy Gifford, Pam Grassau

Bibliographic record

VenueArts & Health · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsCarleton UniversityUniversity of Ottawa
Fundersnot available
KeywordsDementiaPsychologyThe artsTriad (sociology)NarrativeLong-term careApplied psychologyNursingGerontologyMedicinePsychiatryVisual arts

Abstract

fetched live from OpenAlex

INTRODUCTION: Traditional methods of research have frequently failed to accommodate the communication difficulties experienced by a significant proportion of residents living in long-term care. In dementia research, specifically, there is cause for more collaborative, creative ways of working. METHODS: The Linking Lives Through Care study is a performance-based narrative inquiry that will take place in a long-term care setting and will bring together all three members of the care triad - residents who are living with dementia, family members and personal support workers - to explore relational care from multiple positions and perspectives. DISCUSSION: In this article, we discuss the design choices and creative measures taken to ensure a more inclusive research environment, specifically for those participants who are cognitively frail and/or may find it difficult to express their views using just words.

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)0.402
metaresearch head score (Gemma)0.277
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.402
Threshold uncertainty score0.737

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.4020.277
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0080.005
Science and technology studies0.0160.109
Scholarly communication0.0220.021
Open science0.0060.034
Research integrity0.0060.009
Insufficient payload (model declined to judge)0.0080.002

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 head0.934
GPT teacher head0.788
Teacher spread0.146 · 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.

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
Published2021
Admission routes1
Has abstractyes

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