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Record W2921137064 · doi:10.1177/0844562119835130

Healthcare Providers’ Experiences as Arts-Based Research Participants: “I Created My Story About Disability and Difference, Now What?”

2019· article· en· W2921137064 on OpenAlexaffvenue
Phyllis Montgomery, Sharolyn Mossey, Carla Rice, Karen McCauley, Eliza Chandler, Nadine Changfoot, Angela Underhill

Bibliographic record

VenueCanadian Journal of Nursing Research · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicQualitative Research Methods and Ethics
Canadian institutionsToronto Metropolitan UniversityTrent UniversityUniversity of GuelphLaurentian University
Fundersnot available
KeywordsHealth careInclusion (mineral)NarrativeDisability studiesQualitative researchAmbivalenceNarrative inquiryThe artsPsychologySociologySocial psychologyVisual artsGender studiesSocial sciencePolitical science

Abstract

fetched live from OpenAlex

Little is known about the experiences of healthcare providers as research participants in qualitative studies employing methods that encourage disclosure of their own disabilities. In this paper, we describe the experiences and implications of creating personal stories of disability and difference for healthcare provider participants in an arts-based study. The study design is a supplementary secondary analysis of a subset of data from a larger study focused on transforming negative concepts of disability and difference entitled, Mobilizing New Meanings of Disability and Difference: Using Arts-Based Approaches to Advance Healthcare Inclusion for Women with Disabilities. This supplementary study explores the experiences and perspectives of 17 healthcare provider participants who completed semi-structured interviews following creation of a multi-media story about their experience of disability or difference. Using creative non-fiction methods, two narrative streams are identified about healthcare provider experiences and the impacts of participating. The first addresses shared positive experiences about the research. The second entails more ambivalent reflections on their involvement as participants. The tension between the two experiences generates considerations to forward a mutually beneficial alliance to disrupt ableist understandings in healthcare and reveals new meanings of disability that are agential and integral to the stories and storytellers themselves.

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)0.061
metaresearch head score (Gemma)0.018
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Scholarly communication, Research integrity
Consensus categoriesMetaresearch, Science and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.182
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0610.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.015
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.650
GPT teacher head0.644
Teacher spread0.006 · 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

Citations6
Published2019
Admission routes2
Has abstractyes

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