인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
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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.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2026.3
- 수록면
- 67 - 104 (38page)
- DOI
- 10.29324/jewcl.2026.3.75.67
이용수
초록· 키워드
This article examines how technological objects mediate interpersonal relations in Kim Cho-yeop’s short stories “Lost on Premises” (관내분실) (S1) and “On My Space Hero” (나의 우주 영웅에 관하여) (S2). Building a paragraph-level comparative corpus, it combines text mining with close reading in a quant-to-qual feedback design. Frequencies and distinctiveness measures (keyness/TF-IDF), paragraph co-occurrence networks, and KWIC are first used to identify salient passages; those paragraphs are then traced back (para_id) and re-read to validate and refine interpretation within the narrative context. The analysis shows two differentiated mediation grammars. In S1, breakdown and restoration of relations are organized through an archive-based grammar in which recording, indexing, and searchability determine the possibility of reunion; loss is marked as non-retrievability and gaps in records. In S2, relations are structured by a passage/performance grammar: modified bodies, training, and institutional procedures define the burdens and conditions of “passing through,” and return appears as a conditional arrival rather than closure. By shifting comparison from shared tech motifs to mediation modes, the article argues that technology functions as an ethical mediator that redistributes care, responsibility, sacrifice, and loss. As a focused two-text case study, the findings are offered as a transferable analytic framework rather than a general claim about Korean SF. Methodologically, it proposes a transparent workflow in which quantitative signals generate questions that are adjudicated through verifiable close reading.
#Kim Cho-yeop
#technological object
#relational mediation
#text mining
#close reading
#김초엽
#기술 오브제
#관계 매개
#텍스트마이닝
#근접읽기
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목차
- ABSTRACT
- I. 서론
- II. 연구 방법 및 분석 설계
- III. 정량 분석 결과
- IV. 근접읽기 기반 해석
- V. 논의 및 결론
- Works Cited
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