Generative artificial intelligence is an artificial intelligence technology based on deep learning whose core lies in leveraging computer algorithms and training data to generate new, practically valuable content, encompassing text, images, audio, videos, etc. This technology is poised to exert profound impacts on the transformation and development of libraries. Drawing on generative artificial intelligence research publications in the field of international library and information science included in the Scopus database as the data source, this paper employs CiteSpace software and SciVal tools to conduct a visual analysis of literature outputs, core authors, journal sources, and keywords. The results show that generative artificial intelligence research in the international library and information science field is applied primarily in areas such as reference services, information literacy education, and smart libraries. Recommendations are made to promote the application and development of generative artificial intelligence technology in libraries by strengthening technological research and application, boosting data analysis and data sharing, emphasizing information security and privacy protection, promoting cross-boundary integration and ecological development, etc.

[Purpose/Significance]The high-quality transformation and development of libraries urgently re-quire the support of cutting-edge technologies and the implementation of new development concepts.Taking data as the key production factor,new quality productive forces is led by technological innovation,takes and supported by new technologies such as digitalization,networking,and intelligence.It provides a powerful impetus and essential support for the construction of metaverse libraries.It is of profound strategic significance and practical value to ac-tively build metaverse libraries and cultivate and develop new quality productive forces.[Method/Process]Using logical and content analysis methods,and starting from the framework of productivity composition in Marx's classi-cal theory,this study elaborated on the internal logic,practical dilemmas,and development paths of the bidirection-al empowerment between new quality productive forces and metaverse libraries.[Result/Conclusion]It suggests that measures be taken to achieve bidirectional empowerment between the new quality productivity and metaverse libraries,including comprehensively deepening reforms,improving institutional mechanisms and systems;priori-tizing education,accelerating the cultivation of new talents;adhering to innovation-driven development,promoting the application of emerging technologies;and exploring the value of data to unleash the potential of data elements.

学科服务是高校图书馆服务转型升级的重要举措,其工作内容和服务模式随着图书馆内外环境和服务需求的变化而不断演化、变革.文章以西北工业大学图书馆学科服务工作实践为例,对不同阶段学科服务工作的内容、特点和经验进行总结.基于DIKW模型提出学科服务模式优化路径,并构建智慧型学科服务体系,以期为未来高校图书馆学科服务的发展与研究提供参考.

科技人才评价工作关系到人力资源的长足发展,是我国人才工作的重要组成部分.我国针对科技人才评价的制度与政策经过漫长探索,形成了从粗略到细分、从整体到多元、从全行业到各行业的发展脉络.文章以科技创新为视角,针对近年来国家出台的代表性科技人才评价政策文件,将相关政策分4 个阶段进行了历史演进分析,然后从评价主体、评价客体、评价标准、评价工具及评价指标等元素探讨了当前我国对于科技人才评价的实施现状,以期丰富科技人才评价理论,并为科技人才评价工作的创新实践提供依据与参考.

以"双一流"建设为背景,以新时期高校图书馆改革发展的需求为目标,从高校图书馆开展智库服务的现状入手,分析了高校图书馆开展智库服务的资源优势、人才优势和研究基础优势,并针对新形势下遭遇的挑战和可展开的路径进行了探讨,研究思路可为高校图书馆智库服务的发展提供参考.