青年马克思主义者培养工程研究的热点与前沿——基于CiteSpace的可视化分析(2007—2022)

Hot Spots and Frontier of Studies on Young Marxist Training Project——Based on CiteSpace Visualization Analysis(2007-2022)

“青马工程”是关乎党的千秋伟业的战略性人才工程,国内学者对其给予了较多关注和研究。运用CiteSpace研究工具,对2007—2022年中国知网(CNKI)关于“青马工程”的文献进行发文现状、热点内容及前沿趋势的可视化计量分析。结果表明:研究成果数量稳步上升,但总体数量偏少、质量不高;研究者相对分散,持续产出作者少;研究场域覆盖面不广;研究内容理论深耕不足,探讨“青马工程”意义、不足和路径的较多;研究视角和研究方法较为单一,视角主要集中在马克思主义理论和思想政治教育等宏观视角,方法以定性研究为主。在此基础上,合理预测“青马工程”研究未来前沿走向:加强研究者的合作研究,提高研究成果质量;充分挖掘研究内容的理论深度,及时回应新时代现实诉求;拓展研究视角,突出实证和量化的研究方法。

The“Young Marxists Training Project”is a strategic talent project related to the great cause of the Communist Party of China,which has been paid more attention and studied by domestic scholars.Therefore,with the use of CiteSpace research tool,in our study we made a visual quantitative analysis of the current situation,authors,hot topics and frontier trends of published studies on the“Young Marxists Training Project”in CNKI from 2007 to 2022.The results showed that the number of research results increased steadily,but the overall number was small and the quality was not high;researchers were relatively scattered,and few researchers continued their studies on this topic;the coverage of the research field was not wide;the theoretical depth of the research content was not sufficiently explored with more discussion on the significance,deficiency and path of the“Young Marxists Training Project”.The research perspective and the research method were relatively single,mainly focusing on the macro perspective of Marxist theory and the ideological and political education,and predominantly adopting qualitative research.Based on the research results,we predicted the future research frontier trends of studies on the“Young Marxists Training Project”,namely strengthening cooperation between researchers,improving the quality of research results,sufficiently exploring the theoretical depth of the research content so as to respond to the demands of the new era in time,widening research perspectives and highlighting empirical and quantitative research methods.