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Co-production and arts-informed inquiry as creative power for knowledge mobilisation

2022· article· en· W4226309299 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

VenueEvidence & Policy · 2022
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsQueen's University
Fundersnot available
KeywordsThe artsStakeholderContext (archaeology)Stakeholder engagementPublic relationsArts in educationKnowledge managementOpenness to experienceEngineering ethicsPsychologySociologyPolitical scienceSocial psychologyEngineeringComputer science

Abstract

fetched live from OpenAlex

Background: Interest in using arts-informed approaches within research to increase stakeholder engagement is growing; however, there is little work describing how these approaches are operationalised across contexts. This article addresses that gap by exploring the use of arts-informed approaches across three projects. Aims and objectives: We explore how conceptualising research and evaluation as creative endeavours, particularly in arts-informed approaches to co-production, create opportunities to move knowledge into action (knowledge mobilisation). We propose an actionable configuration of context + mechanism = outcome (CMO) to understand the influence of arts-informed approaches to co-production. Methods: Multi-case design and cross-case synthesis was conducted of three studies that used arts-informed approaches. A common focus across our cases was evidence use in the K-12 education sector; however, each engaged with this focus by involving different types of evidence and sets of education stakeholders. Findings: Arts-informed approaches and co-production were influenced by a variety of contextual factors such as relationships between researchers and stakeholders, ethical issues of collaborative research activities, approaches to meaningful stakeholder engagement, co-production of knowledge, capacity-building support and resources, and communication between multi-stakeholder partners. Outcomes included new ways of thinking about research topics based on arts-informed approaches, more positive attitudes about co-production, more relevant and useful research and evaluation findings, and increased openness to future co-productive work. Discussion and conclusions: Four propositions arising from this article include: (1) arts-informed approaches address context specificity and sensitivity; (2) arts-informed approaches promote engagement; (3) arts-informed approaches enhance and intertwine skills; (4) arts-informed approaches broaden thinking about impact.

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)0.004
metaresearch head score (Gemma)0.029
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.512
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.029
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.679
GPT teacher head0.702
Teacher spread0.024 · 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