Evidence map›Paper›PMID 42238317›Full record

ArticleJournal of rehabilitation2025

Research at the Intersections: An Autoethnography of Culture, Race, and Disability.

Renée Starr

Abstract read
In one paragraph

Article in Journal of rehabilitation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Renée StarrThe College of Humanities and Social Sciences, Grand Canyon University, Rehabilitation Research and Training Center (LU-RRTC) on Research and Capacity Building for Minority Entities, Langston University, OK, USA.

Funding

ACL HHS 90RTST0002
6 · The paper itself

Abstract

Purpose: The purpose of this study was to explore my research skill development and career trajectory as an African American woman with a hearing disability who served as an Advanced Rehabilitation Research Training (ARRT) Post-Doctoral Fellow at a United States (U.S.) National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR)-sponsored Rehabilitation Research and Training Center (RRTC) based at a historically Black college/university (HBCU). Method: Utilizing an autoethnography approach, I sought to discover and understand how my lived experiences as a person with multiple marginalized social identities (i.e., disability and race) through evocative narratives helped shape my research skills and career in the disability and rehabilitation field. Results: Emerging themes highlighted as contributors to my skill development and self-efficacy included familial and educational accommodations and supports, mentorship opportunities (i.e., race and disability fellow/mentee-mentor concordance context), and participation in professional networks and community activities. Additionally, the study identified various challenges that I faced while navigating my academic and career path. Conclusion: This inquiry might shed light on some of the unique challenges faced by individuals with hearing disabilities from marginalized backgrounds as well as opportunities that could help traverse these barriers in their journey to become a disability and rehabilitation researcher and/or faculty member in academia. Accordingly, the findings have broader implications for vocational rehabilitation research, emphasizing the need for culturally responsive, disability-inclusive mentorship and institutional supports that address intersecting barriers.

Indexed as

AutoethnographyCareer DevelopmentCultureDisabilityRaceResearch Skill Building

Identifiers

PMID42238317
PMCPMC13227594

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.