汉藏两族龙舞比较分析
A Comparative Analysis of the Ways of Simulating Dragon Dance between the Han and Tibetan Ethnic Groups
陈家乐1
作者信息
摘要
从语言学的现有分析来看,汉族与藏族的祖先应属同源.汉族在不断的发展过程中形成了属于自己的语言与文化.两族作为同属,都有着对于"龙"的信仰,由此诞生了龙神祭祀文化,其中就包含龙舞.在铸牢中华民族共同体意识语境下,分析两族龙舞能够更好地厘清汉藏文化之间的联系.通过对比两族的龙舞表演可以看到汉族龙舞相对藏族龙舞来说,人与龙的距离更紧密,总体呈现出人龙合一的趋势,而藏族的龙舞当中龙并不直接出现,而是以各种符号或隐含式的状态出现.同时,汉族龙舞之"龙"的形态在舞蹈中的样式趋于固定,只是在长龙的基础上发展变化而已.而藏族龙舞由于基本很少有龙形象的直接出现,只能从古籍记载、唐卡、舞服和道具装饰等看到龙的形象.即便如此,两族人民对龙神的崇拜都是基于龙神主管雷雨或能够赐福人间而存在的.
Abstract
From the current analysis of linguistics,it is clear that the ancestors of the Han people and the Tibetans are of the same origin.The Han people have formed their own language and culture in the course of continuous development.The two ethnic groups share the same belief in the dragon,which has given rise to the culture of dragon god worship,including the dragon dance.In the context of forging a strong sense of community for the Chinese nation analyzing the dragon dances of the two ethnic groups can betterclarify the connection between Han and Tibetan cultures.By comparing the dragon dance performances of the two ethnic groups,it can be seen that in the Han dragon dance be relationship etween umances and lragons is loser,showing a general trend of human-dragon unity,while the dragon does not appear directly in the Tibetan dragon dance.Instead,it appears in various symbolic or implied states.At the same time,the form of"dragon"in the Han dragon dance tends to be fixed in the style of the dance,only on the basis of the development of the long dragon.The Tibetan dragon dance has rare direct appearance of the dragon image,and the image of the dragon can only be seen from the ancient records,Tangka,dance clothes and props and other decorations.Even so,the worship of the dragon god between the two ethnic groups is based on the dragon god in charge of thunderstorms or can bless the earth and the existence of the dragon god.
关键词
龙舞/汉族与藏族舞蹈/中华民族共同体/龙神信仰Key words
Dragon Dance/Han an Tibetan Dance/a Community for the Chinese Nation/the Dragon Goddess of Faith引用本文复制引用
出版年
2024
NETL
NSTL
万方数据