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Record W3026779499 · doi:10.1177/1049732320922193

“I Can Understand Where They’re Coming From”: How Clinicians’ Disability Experiences Shape Their Interaction With Clients

2020· article· en· W3026779499 on OpenAlexafffund
Alfiya Battalova, Laura Yvonne Bulk, Laura Nimmon, Rachelle Hole, Terry Krupa, Michael Lee, Yael Mayer, Tal Jarus

Bibliographic record

VenueQualitative Health Research · 2020
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsQueen's UniversityUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
FundersCanadian Institutes of Health Research
KeywordsGrounded theoryWorkforcePsychologyDisability studiesHealth careNursingQualitative researchMedical educationMedicineSociology

Abstract

fetched live from OpenAlex

Students and clinicians with disabilities are underrepresented in the academic health programs and professional clinical settings. Disability studies foregrounds the unique ways of knowing and being that clinicians with disabilities can offer. Based on a larger grounded theory study of the experiences of students and clinicians with disabilities, this article examines the role that clinicians’ abilities to draw on their personal experiences of living with a disability have on their interactions with clients. The analysis of semistructured interviews with 55 students and clinicians with disabilities from different fields contributes to the development of a theory of epistemic connection. The theory is informed by the following three themes: (a) building rapport through understanding, (b) from understanding to advocacy and creative approaches, and (c) between professionalism and disability. The findings emphasize not only the importance of diversifying the health care workforce but also incorporating disability epistemology into the health care culture.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.018
metaresearch head score (Gemma)0.056
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.024
Threshold uncertainty score0.096

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.056
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0240.039
Scholarly communication0.0160.015
Open science0.0030.018
Research integrity0.0060.011
Insufficient payload (model declined to judge)0.0060.001

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 head0.579
GPT teacher head0.611
Teacher spread0.032 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations48
Published2020
Admission routes2
Has abstractyes

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