对象、方法与理念:家庭民俗学发展谫论
Object,Method and Concept:On the Development of Family Folklore
孟令法1
作者信息
- 1. 扬州大学,江苏扬州 225009;北京师范大学,北京 100875
- 折叠
摘要
作为民俗学的一个研究视角,家庭民俗学有着丰硕的成果积累——从民俗学初创期的以家庭为方法,到 21 世纪的以家庭为对象,均体现了家庭之于民俗学发展的实际功能,而后者则促进了人们对家庭及其成员角色的反思.家庭民俗学与社会学或人类学,乃至传统民俗学的外向型家庭研究不同,它不仅是具有家国情怀的内向型研究,且积淀于儒学思想的"家"论述,萌发于救亡图存的民众启蒙,开启于现象学的日常生活研究,成就于"感受生活的民俗学",发展于实践民俗学"启蒙"之用的"家"基础.家庭民俗学的家庭虽是一个社会概念,但其不仅包括父系,也包括母系以及拟亲属关系,而其在资料获取的方法层面,则为家乡民俗学和"多民族的一国民俗学"研究奠定了前提.总之,家庭民俗学并不止于家庭及其成员本身,而是认识社会的一个起点以及形塑自我人格的基本路径.
Abstract
As a research perspective of folklore,Family Folklore has accumulated fruitful achievements:The practical function of the family in the development of folklore,from the family-as-method in the infancy of folklore to the family-as-object in the twenty-first century,exemplifies the practical function of the family in the development of folklore,while the latter promotes reflection on the role of the family and its members.Family folklore is different from the extroverted family research in sociology,anthropology,and even traditional folklore.It is not only an introverted study with a sense of patriotism,but also a"family"discourse accumulated in Confucian thought.It originated from the enlightenment of saving the nation,started from the study of daily life in phenomenology,achieved in the"folklore of experiencing life",and developed into the"family"foundation for the practical"enlightenment"of folklore.Although the family in Family Folklore is a social concept,it not only includes the paternal line,but also includes the maternal line and the pseudo kinship relationship.At the level of data acquisition methods,it lays the foundation for the study of Hometown Folklore and"multi-ethnic national folklore".In a word,Family Folklore is not limited to the family and its members themselves,but rather a starting point for us to understand society and a basic path for shaping our own personality.
关键词
家庭民俗学/自我家庭/血缘结构/研究对象/方法论Key words
Family Folklore/Self Family/Blood Relationship Structure/Research Subjects/Methodology引用本文复制引用
出版年
2024
NETL
NSTL
万方数据