인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
개인구독
소속 기관이 없으신 경우, 개인 정기구독을 하시면 저렴하게
논문을 무제한 열람 이용할 수 있어요.
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
The purpose of this study is to explore the thematic structures and responses of Korean social work research during the COVID-19 pandemic. Data were initially collected from Korea Citation Index (KCI) accredited social work journals published during the target period. To ensure academic representativeness, the final dataset was restricted to articles published in the Korean Journal of Social Welfare (KJSW), a premier accredited journal in the field. Latent Dirichlet Allocation (LDA) topic modeling and text-based network analysis were applied. The topic analysis identified four dominant themes that characterized the period: “Youth Well-being,” “The Intersection of Mental Health and Economic Instability,” “Methodological Diversification,” and “Employment and Social Integration.” Notably, the network analysis revealed that “COVID-19” functioned as a central hub, structurally mediating discussions on poverty, depression, and employment vulnerability. This finding suggests that the pandemic crisis reconstructed individual variables into interconnected social risks. Consequently, this study suggests the need for data-driven policy designs and methodological diversification to address complex social vulnerabilities, including future pandemics. Furthermore, it advocates for strengthening integrated support systems specifically targeting youth and economically marginalized groups.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.