Background: The purpose of this research study was to explore how D/deaf learners in the Eastern Cape province of South Africa constructed their careers and what types of support were available for them to do so. The study found that among the support required, support for their linguistic development, particularly Sign Language acquisition, was critical in home, school and community settings.
Objectives: The objective of this study was to highlight the multiple linguistic exclusions faced by D/deaf learners in the Eastern Cape, which negatively impacted their career construction.
Method: Savickas's theory of career construction framed this analytical-qualitative case study. The study was conducted in two out of four schools for the D/deaf in two districts of the Eastern Cape, South Africa. Data were gathered via four participant groups viz. Deaf learners, their parents, teachers and officials of the Department of Basic Education, as well as through document reviews.
Results: The results indicated that multiple linguistic exclusions for these learners begin early in their lives and continue into their school years and beyond. These experiences at home, school and in social contexts combined impact negatively career construction and its prospects.
Conclusion: This study concluded that linguistic exclusions experienced by Deaf learners are created by a combination of systemic factors, which impede the career construction of D/deaf learners. Implications and suggestions for advancing their linguistic inclusion are discussed.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9257708 | PMC |
| http://dx.doi.org/10.4102/ajod.v11i0.935 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Evaluating Online and Offline Health Information With the Patient Education Materials Assessment Tool: Protocol for a Systematic Review.
JMIR Res Protoc
January 2025
University hospital Medical Information Network (UMIN) Center, The University of Tokyo Hospital, Tokyo, Japan.
Background: The Patient Education Materials Assessment Tool (PEMAT) is a reliable and validated instrument for assessing the understandability and actionability of patient education materials. It has been applied across diverse cultural and linguistic contexts, enabling cross-field and cross-national material quality comparisons. Accumulated evidence from studies using the PEMAT over the past decade underscores its potential impact on patient and public action.
View Article and Find Full Text PDFAchieving Language Justice in Pediatric Hematology-Oncology: A Multinational Perspective for Language-Concordant Equitable Patient- and Family-Centered Care and Research Inclusion.
Pediatr Blood Cancer
January 2025
Department of Pediatrics, Division of Pediatric Hematology/Oncology, University of California San Diego/Rady Children's Hospital San Diego, San Diego, California, USA.
Language-discordant healthcare encounters-when the patient/caregiver and clinician are not able to communicate directly in the patient's/caregiver's preferred language-are associated with worse quality of care, increased adverse events, and research exclusion. Here, we describe the current state of language justice in clinical practice and research in the United States, Canada, and Spain, discuss the role of social determinants of health and language, in patient safety and health outcomes and review an example of culturally and linguistically concordant interventions to increase research participation. We close with practical and global strategies to increase multilingual research participation and to provide equitable patient- and family-centered care in pediatric hematology-oncology.
View Article and Find Full Text PDFRace and Gender Bias in Narrative Letters of Recommendation for Plastic Surgery Residency Applicants.
J Surg Res
January 2025
Department of Surgery, Division of Plastic, Maxillofacial, and Oral Surgery, Duke University Medical Center, Durham, North Carolina.
Introduction: It has been previously shown that gender bias exists in standardized letters of recommendation for plastic surgery residency. However, similar analysis has not been conducted for narrative letters of recommendation (NLORs). Therefore, this study aims to determine if there exists linguistic bias in NLORs for plastic surgery residency based on applicants' and writers' gender and race.
View Article and Find Full Text PDFLarge Language Models in Worldwide Medical Exams: Platform Development and Comprehensive Analysis.
J Med Internet Res
December 2024
Joint Laboratory of Artificial Intelligence for Critical Care Medicine, Department of Critical Care Medicine and Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China.
Background: Large language models (LLMs) are increasingly integrated into medical education, with transformative potential for learning and assessment. However, their performance across diverse medical exams globally has remained underexplored.
Objective: This study aims to introduce MedExamLLM, a comprehensive platform designed to systematically evaluate the performance of LLMs on medical exams worldwide.
Challenges and support needs among persons with a migration background who use drugs in four European metropolitan cities.
Harm Reduct J
November 2024
Department of Special Needs Education, Ghent University, Ghent, Belgium.
Background: Persons who migrate for economic reasons, along with asylum seekers and refugees, face multiple personal experiences and societal inequalities that increase the risk of mental health problems and substance dependency, compounded by intersectional social and economic vulnerabilities. The precarious situation and limited access to care of persons with a migration background who use drugs (PMWUD) in Europe raises concern. Therefore, this qualitative study explores the challenges and support needs of a sample of PMWUD in vulnerable situations living in Amsterdam, Athens, Berlin and Paris.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!