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Record W4413965482 · doi:10.1080/17533015.2025.2555254

Bringing health research to life: readers theatre as an innovative knowledge translation strategy

2025· article· en· W4413965482 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueArts & Health · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsUniversity of New Brunswick
FundersFondation de la recherche en santé du Nouveau-Brunswick
KeywordsKnowledge translationPsychologyMedical educationEngineering ethicsKnowledge managementEngineeringMedicineComputer science

Abstract

fetched live from OpenAlex

BACKGROUND: Arts-based knowledge translation (KT) tools are increasingly being used to make health research more accessible and engaging. METHODS: This paper reports on the evaluation of Readers Theatre - short, theatrical vignettes - as a method for sharing qualitative interview findings with diverse audiences. This approach was evaluated in three settings: a workshop for caregivers and care providers and two undergraduate health classrooms. RESULTS: Results demonstrate that Readers Theatre is an educational, enjoyable, effective, and useful tool for KT. Most participants perceived it to be as effective or more effective than other KT methods. CONCLUSIONS: While the results are promising, further research is warranted to better understand its full potential.

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)0.029
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science 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 score0.728
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0290.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.899
GPT teacher head0.760
Teacher spread0.139 · 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