弗雷德里克·威廉·托马斯(Frederick William Thomas),是英国著名的藏学家之一,也是系统整理并出版敦煌古藏文文献的重要学者。他的《敦煌西域古藏文社会历史文献》与《东北藏古代民间文学》两部著作,代表了当时国际敦煌古藏...弗雷德里克·威廉·托马斯(Frederick William Thomas),是英国著名的藏学家之一,也是系统整理并出版敦煌古藏文文献的重要学者。他的《敦煌西域古藏文社会历史文献》与《东北藏古代民间文学》两部著作,代表了当时国际敦煌古藏文研究的最高水平,被誉为“倾其一生才智贡献给学术界的力作”,兼具第一手史料价值与开拓性研究意义。作为英国藏学界的杰出代表,其研究不仅填补了藏学领域的诸多空白,更开创了敦煌藏文文献系统研究之先河。他融合文献学、语言学、历史学与人类学等多学科方法,为藏学研究提供了全新的范式与方法论基础,至今仍深刻影响着该学科的发展。本文采用文献研究法,从托马斯的人生经历、学术成果及其对藏学的主要贡献3方面入手,探讨其如何通过文献、语言与文化的多维视角,构建起独具特色的藏学研究体系,并持续影响后世。展开更多
With the help of Citespace bibliometric software, this paper uses CNKI database as the source of literature to visually analyze the literature on Tibetan Amdo dialect research in China from 2014 to 2024. The three sta...With the help of Citespace bibliometric software, this paper uses CNKI database as the source of literature to visually analyze the literature on Tibetan Amdo dialect research in China from 2014 to 2024. The three statistical elements of “theme, keywords, and references” were used to carry out quantitative analysis from multiple perspectives, such as the number of published papers and the co-occurrence of keywords, and the data results were summarized and analyzed. By sorting out the research hotspots and evolutionary contexts, this paper puts forward the future development trend of Amdodo dialect research in China, so as to provide a reference for the systematization of Tibetan dialect research.展开更多
基金国家社会科学基金一般项目“嘉戎语组语言的植物学研究(19BYY190)”国家社会科学基金青年项目“嘉绒语四土方言调查与历史演变研究(25CYY062)”新加坡南洋理工大学Nanyang Assistant Professorship项目“Language Evolution through Trees,Entropies,Reconstruction and Networks(#024576-00001)”资助。
文摘弗雷德里克·威廉·托马斯(Frederick William Thomas),是英国著名的藏学家之一,也是系统整理并出版敦煌古藏文文献的重要学者。他的《敦煌西域古藏文社会历史文献》与《东北藏古代民间文学》两部著作,代表了当时国际敦煌古藏文研究的最高水平,被誉为“倾其一生才智贡献给学术界的力作”,兼具第一手史料价值与开拓性研究意义。作为英国藏学界的杰出代表,其研究不仅填补了藏学领域的诸多空白,更开创了敦煌藏文文献系统研究之先河。他融合文献学、语言学、历史学与人类学等多学科方法,为藏学研究提供了全新的范式与方法论基础,至今仍深刻影响着该学科的发展。本文采用文献研究法,从托马斯的人生经历、学术成果及其对藏学的主要贡献3方面入手,探讨其如何通过文献、语言与文化的多维视角,构建起独具特色的藏学研究体系,并持续影响后世。
文摘With the help of Citespace bibliometric software, this paper uses CNKI database as the source of literature to visually analyze the literature on Tibetan Amdo dialect research in China from 2014 to 2024. The three statistical elements of “theme, keywords, and references” were used to carry out quantitative analysis from multiple perspectives, such as the number of published papers and the co-occurrence of keywords, and the data results were summarized and analyzed. By sorting out the research hotspots and evolutionary contexts, this paper puts forward the future development trend of Amdodo dialect research in China, so as to provide a reference for the systematization of Tibetan dialect research.
