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Record W3133625404 · doi:10.1177/1609406920987954

Metaphors in the Making: Illuminating the Process of Arts-Based Health Research Through a Case Exemplar Linking Arts-Based, Qualitative and Quantitative Research Data

2021· article· en· W3133625404 on OpenAlexaff
Mandy M. Archibald, John Blines

Bibliographic record

VenueInternational Journal of Qualitative Methods · 2021
Typearticle
Languageen
FieldPsychology
TopicMusic Therapy and Health
Canadian institutionsUniversity of ManitobaChildren's Hospital Research Institute of Manitoba
Fundersnot available
KeywordsQualitative researchContext (archaeology)The artsPsychologyEmpirical researchPraxisSociologyEpistemologySocial scienceVisual arts

Abstract

fetched live from OpenAlex

Background: The potentials of arts-based health research are increasingly being realized as an approach to understanding and communicating the complexities of the human experience of health and illness. Despite this, arts-based health research often remains shrouded in obscurity, limiting its potential utility. Arts-based health research offers unique opportunities to integrate evidence of patients’ lived experience with other forms of research evidence to improve understanding and knowledge translation, but transparent descriptions of this praxis are generally lacking. In response, this article offers methodological insight and guidance through an in-depth case exemplar of an arts-based health research process linking qualitative research with diverse evidence sources in the context of frailty research. Methods: Responding to research data generated within a Centre of Research Excellence in Frailty and Healthy Ageing, we adopted a researcher-as-practitioner stance to produce research-based artworks to integrate and communicate conflicting research findings. We structure this process according to Ecker’s seven domains of qualitative inquiry, demonstrating parallels between the arts-based research and qualitative inquiry processes and offering opportunities for engaging with “evidence misalignments” resulting from incongruent evidence sources. Findings: Arts-based health research can enable meaningful reflection upon, integration, and communication of “evidence-misalignments” in research spanning the health and social sciences. Such misalignments are problematic when the lived experience of health and illness conflicts with other empirical evidence, including gold standard evidence guiding treatment decisions. These in turn, can function as plausible barriers to self management and to achievement of health outcomes. Interpretation: Through the researcher-as-practitioner lens, and with an orientation to production, this work engaged with a new means of materiality—one that extends beyond text and numerical representations—and whose meaning and connections may not be immediately apparent. These relationships change how the researchers-practitioner engages with, understands, explores, and represents concepts, enabling epistemological and ontological gains of benefit to the health and social sciences.

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 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)0.215
metaresearch head score (Gemma)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.265
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.2150.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.002
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 head0.946
GPT teacher head0.804
Teacher spread0.142 · 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; both teacher heads agree on what is shown here.

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

Citations40
Published2021
Admission routes1
Has abstractyes

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