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Record W3164454177 · doi:10.1177/23821205211018696

Structural Barriers to Student Disability Disclosure in US-Allopathic Medical Schools

2021· article· en· W3164454177 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

VenueJournal of Medical Education and Curricular Development · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Education and Employment
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedical educationMedicinePsychology

Abstract

fetched live from OpenAlex

INTRODUCTION: Leaders in medical education have expressed a commitment to increase medical student diversity, including those with disabilities. Despite this commitment there exists a large gap in the number of medical students self-reporting disability in anonymous demographic surveys and those willing to disclose and request accommodations at a school level. Structural elements for disclosing and requesting disability accommodations have been identified as a main barrier for students with disabilities in medical education, yet school-level practices for student disclosure at US-MD programs have not been studied. METHODS: In August 2020, a survey seeking to ascertain institutional disability disclosure structure was sent to student affairs deans at LCME fully accredited medical schools. Survey responses were coded according to their alignment with considerations from the AAMC report on disability and analyzed for any associations with the AAMC Organizational Characteristics Database and class size. RESULTS: Disability disclosure structures were collected for 98 of 141 eligible schools (70% response rate). Structures for disability disclosure varied among the 98 respondent schools. Sixty-four (65%) programs maintained a disability disclosure structure in alignment with AAMC considerations; 34 (35%) did not. No statistically significant relationships were identified between disability disclosure structures and AAMC organizational characteristics or class size. DISCUSSION: Thirty-five percent of LCME fully accredited MD program respondents continue to employ structures of disability disclosure that do not align with the considerations offered in the AAMC report. This structural non-alignment has been identified as a major barrier for medical students to accessing accommodations and may disincentivize disability disclosure. Meeting the stated calls for diversity will require schools to consider structural barriers that marginalize students with disabilities and make appropriate adjustments to their services to improve access.

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)0.004
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.159
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.010
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)0.0050.000

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 head0.016
GPT teacher head0.379
Teacher spread0.362 · 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