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Record W4385567671 · doi:10.1162/leon_a_02372

<i>Piece of Mind</i>: Mobilizing Scientific and Experiential Knowledge of Dementia through the Arts

2023· article· en· W4385567671 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueLeonardo · 2023
Typearticle
Languageen
FieldMedicine
TopicEmpathy and Medical Education
Canadian institutionsCentre for Interdisciplinary Research in RehabilitationWeyerhauser (Canada)McGill University
Fundersnot available
KeywordsThe artsExperiential knowledgeEmpathyExperiential learningDementiaPsychologyDisseminationPerforming artsSociology of scientific knowledgeEngineering ethicsSociologyKnowledge managementComputer scienceDiseaseEpistemologyPedagogyPolitical scienceSocial psychologySocial scienceMedicineVisual artsEngineering

Abstract

fetched live from OpenAlex

Abstract While peer-reviewed articles and conferences are appropriate for disseminating research findings within academia, they are less effective for translating scientific knowledge into meaningful and practical applications. Moreover, exchanging knowledge with nonacademic stakeholders is a crucial yet often overlooked step in ensuring that research aligns with the needs and reality of knowledge users. This is particularly problematic in dementia and Alzheimer’s disease research, where social stigma and the reliance on quantitative and self-report methods hamper meaningful dialogue between academic researchers, nonacademic stakeholders, and the broader community. The authors’ project Piece of Mind uses performing arts to create common ground for knowledge exchange, facilitate empathy through creative collaboration, and improve public awareness of dementia.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.375
Threshold uncertainty score0.170

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.040
GPT teacher head0.341
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