메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
저널정보
한국피해자학회 피해자학연구 피해자학연구 제18권 제2호
발행연도
2010.1
수록면
401 - 432 (32page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
Battered women syndrome as a type of expert testimony has been widely used since early 1980s in American court to support the argument of justification, excuse and mitigation of sentence of battered women's criminal acts. This fact has been introduced through some articles and other legal materials. In recent years, the written expert opinions about battered women syndrome have been introduced in Korean courts for the defendants who have long been abused and at last committed serious crimes. What is now in issue is that Korean courts actively try to hear the evidence of the syndrome but do not know what the syndrome is about and how it should be understood. In America, the syndrome has not been a stable and unquestionable scientific concept and therefore has been subject to lots of criticisms, especially on admissibility issue. In this paper, I focus on the scientific and legal validity of battered women syndrome and the subject that the syndrome can prove. In other words, the consideration of culpability of battered women is closely related to the admissibility issue of the syndrome. The answer to this simple question will not be simple or easy, because fundamentally there is no clear middle ground between socio-psychological phenomenon and legal standards of justification, necessity, duress, mitigation of sentence. In conclusion, the syndrome should be more prudently used in a sophisticated way, because it has not perfectly proved its' scientific validity and thus legal value for evidence. The syndrome that has both socio-relational aspect and inner-psychological aspect should be considered for correct points of legal standards of justification and excuse.

목차

등록된 정보가 없습니다.

참고문헌 (44)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0