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Record W2127320921 · doi:10.1111/wvn.12031

Exploring Arts‐Based Knowledge Translation: Sharing Research Findings Through Performing the Patterns, Rehearsing the Results, Staging the Synthesis

2014· article· en· W2127320921 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

VenueWorldviews on Evidence-Based Nursing · 2014
Typearticle
Languageen
FieldHealth Professions
TopicHealth Sciences Research and Education
Canadian institutionsUniversity of ManitobaRed River College
FundersNature
KeywordsSituatedKnowledge translationThe artsContext (archaeology)SociologyEpistemologyPsychologyKnowledge managementComputer sciencePolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: Cultivation of knowledge translation (KT) strategies that actively engage health professionals in critical reflection of their practice and research-based evidence are imperative to address the research-practice gap. While research-based evidence is exponentially growing, our ability to facilitate uptake by nurses and other health professionals has not kept pace. Innovative approaches that extend epistemological bias beyond a singular standpoint of postpositivism, such as the utilization of arts-based methods, expand the possibility to address the complexities of context, engage audience members, promote dissemination within communities of practice, and foster new audiences interested in research findings. AIM: In this paper, we address the importance of adopting a social constructivist epistemological stance to facilitate knowledge translation to diverse audiences, explore various arts-based knowledge translation (ABKT) strategies, and open a dialogue concerning evaluative tenets of ABKT. DISCUSSION: ABKT utilizes various art forms to disseminate research knowledge to diverse audiences and promote evidence-informed practice. ABKT initiatives translate knowledge not based upon a linear model, which views knowledge as an objective entity, but rather operate from the premise that knowledge is socially situated, which demands acknowledging and engaging the learner within their context. Theatre, dance, photography, and poetry are art forms that are commonly used to communicate research findings to diverse audiences. Given the emerging interest and importance of utilizing this KT strategy situated within a social constructivist epistemology, potential challenges and plausible evaluative criteria specific to ABKT are presented. CONCLUSION: ABKT is an emerging KT strategy that is grounded in social constructivist epistemological tenets, and holds potential for meaningfully sharing new research knowledge with diverse audiences. LINKING EVIDENCE TO ACTION: ABKT is an innovative and synergistic approach to traditional dissemination strategies. This creative KT approach is emerging as potent transformational learning tools that are congruent with the relational nature of nursing practice. ABKT facilitates learning about new research findings in an engaging and critical reflective manner that promotes learning within communities of practice.

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)0.047
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.800
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0470.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0160.001
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.003
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 head0.821
GPT teacher head0.582
Teacher spread0.238 · 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