인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
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
This study aimed to investigate and analyze the current state of costume artifacts held in museums in the Gangneung area, providing empirical foundational data on the region’s traditional costume culture. Due to its geographical characteristics, Gangneung has developed a unique culture, and its costume heritage is regarded as an important element reflecting the region’s identity and cultural legacy. The survey targeted 18 public, private, and university museums located in Gangneung. Among them, seven institutions were found to hold a total of 1,112 costume-related artifacts. The institution with the most extensive collection was the Ojukheon Municipal Museum, which held 625 items—over half of the total. The Daegwallyeong Museum followed with 182 items, while the Museum at the Seongyojang House and the Museum of Oriental Embroidery also possessed more than 80 items each, indicating a significant level of costume-related material. In contrast, the National Gangneung-Wonju University Museum and the Catholic Kwandong University Museum, despite being university museums, held relatively small numbers of artifacts. The Heo Gyun and Heo Nanseolheon Memorial Park had only two costume-related paintings, reflecting a minimal collection. A systematic investigation of costume artifacts is not merely a revisiting of the past; it contributes to reaffirming regional cultural identity and uncovering the value of these artifacts as cultural resources that can be utilized in contemporary society. Furthermore, this study can serve as a practical foundation for the future development of costume design based on Gangneung’s traditional attire and for the creation of cultural content tied to regional branding. Ultimately, it may serve as a cultural bridge, connecting the past with the future, and provide a meaningful starting point for exploring new possibilities in regionally based studies.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
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