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Record W2010473277 · doi:10.1177/1077800411427852

Employing the Arts in Research as an Analytical Tool and Dissemination Method

2011· article· en· W2010473277 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

VenueQualitative Inquiry · 2011
Typearticle
Languageen
FieldMedicine
TopicEmpathy and Medical Education
Canadian institutionsToronto General HospitalUniversity of TorontoToronto Metropolitan University
FundersSigma Theta Tau International
KeywordsNarrativeExhibitionSurrenderCuriosityThe artsPoetryVisual artsPhotographySociologyAutoethnographyAestheticsProcess (computing)PsychologyArtComputer scienceHistoryLiteratureSocial psychologySocial science

Abstract

fetched live from OpenAlex

The process to knowing entails perpetual curiosity as well as wearied surrender in which one’s understandings transform. This philosophy describes the approach that our team took to research, interpret and exhibit patients’ narratives of open-heart surgery in “The 7,024th Patient” project – an arts-informed, narrative study that resulted in an installation that is 1,739 square feet in area and over 9 feet in height. With the intention to physically and emotionally engage viewers, patients’ stories were aesthetically translated into an installation of poetry and photography that was configured as a winding, labryinth-like path. In this article, we recount the journey of creating “The 7,024th Patient” exhibition illustrating the employment of the arts as a tool in research for acquiring understanding. In order to vividly highlight our journey, poetic excerpts and photographic images from the installation are embedded.

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)0.008
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.104
Threshold uncertainty score0.927

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.586
GPT teacher head0.646
Teacher spread0.060 · 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