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Record W2748673057 · doi:10.1386/jaah.8.2.175_1

Hybrid health research: Assembling an integrated arts/science methodological framework

2017· article· en· W2748673057 on OpenAlex
Geoffrey Edwards, Afnen Arfaoui, Coralee McLaren, Patricia McKeever

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

VenueJournal of Applied Arts and Health · 2017
Typearticle
Languageen
FieldMedicine
TopicEmpathy and Medical Education
Canadian institutionsHolland Bloorview Kids Rehabilitation HospitalUniversité Laval
Fundersnot available
KeywordsGeneralityThe artsEmbodied cognitionIntersection (aeronautics)SociologyEpistemologyDeleuze and GuattariTransdisciplinarityEngineering ethicsPsychologySocial scienceVisual artsEngineeringArtPhilosophy

Abstract

fetched live from OpenAlex

Abstract Within the effort to create a form of enquiry that is both, and neither, art and science, we explore methodologies at the intersection of these activities. The methodologies under study are grounded in embodied contemporary philosophical writings – the work of Gibson, Deleuze and Guattari and Whitehead have drawn our particular interest. Using examples drawn from projects undertaken over recent years, we illustrate how these philosophies can be used to develop a formal methodological framework. We then go on to investigate to what extent the elements that form this framework are also found in a corpus of texts obtained from interviews with researchers and students working in arts-based health research. The results, which largely confirm the lessons drawn, suggest that the proposed framework may have broader generality.

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)0.021
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.880
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0210.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.672
GPT teacher head0.596
Teacher spread0.076 · 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