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Record W4399436191 · doi:10.1111/medu.15450

What's your experience?: A duoethnographic dialogue to advance disability inclusion in medical education

2024· article· en· W4399436191 on OpenAlexaboutno aff
Neera R. Jain, Lulu Alwazzan

Bibliographic record

VenueMedical Education · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsnot available
FundersUniversity of Auckland
KeywordsInclusion (mineral)Medical educationMEDLINEPsychologyMedicineGerontologyFamily medicineSocial psychologyPolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: Although disability inclusion in medical education is gaining interest internationally, scholarship and policy recommendations on this topic largely hail from the US, Canada, Australia and the UK. Existing scholarship, while calling for medical education to enact cultural and attitudinal change related to disability, has yet to exemplify how educators might critically examine their understandings. APPROACH: As two medical educators and researchers, one based in New Zealand and the other based in Saudi Arabia, we took a duoethnographic approach to explore tensions, possibilities and assumptions regarding disability and disability inclusion in medical education. Through a year-long synchronous and asynchronous dialogue, we examined our experiences in relation to literature from critical disability studies and disability inclusion in medical education. FINDINGS: We present recurrent themes from our dialogue. We consider what disability means, explore definitions and models of disability in our contexts, as well as our lived curriculum of disability. We grapple with the applicability of disability inclusion practices across borders. We explore the complexity of supporting access without a clear roadmap, while recognising educators' potential in this work. Finally, we recognise that, if disability is relational, we have the power and responsibility to address ableism in medical education. Throughout, we return to the importance of local consultation with disabled people (learners, physicians) to better understand how services ought to be oriented. CONCLUSION: Duoethnographic dialogue is a fruitful approach to critically examine understandings of disability with others and represents a necessary start to work in education that seeks to advance justice. We share possible actions to take the work forward beyond dialogue and suggest that readers engage in such dialogues with others in their own contexts.

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)0.034
metaresearch head score (Gemma)0.055
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: none
Teacher disagreement score0.042
Threshold uncertainty score0.182

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0340.055
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0420.072
Scholarly communication0.0220.031
Open science0.0030.033
Research integrity0.0110.028
Insufficient payload (model declined to judge)0.0040.001

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 head0.020
GPT teacher head0.430
Teacher spread0.410 · 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

Citations5
Published2024
Admission routes1
Has abstractyes

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