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文章对SSCI用来测度中国社会科学国际产出的可行性进行论证,并基于数据库实证,指出数据库存在的文献收录偏差和学科偏差问题及其处理对策,对当前SSCI使用过程中所忽视的数据源问题进行了深刻揭示。尽管存在类型多样性和语言地方性的质疑以及受到新兴数据库的冲击,SSCI仍是测度中国社会科学国际产出较为理想的数据库。从论文整体和高影响力论文两个视角,都证实了SSCI文献收录的偏差问题。WC学科类别体系在成为SSCI优势的同时,也存在学科认知差异和学科类别交叉问题。作为理想的计量工具,在使用SSCI时,更应关注对源刊的分析,并有针对性地或通过文献聚类方法,进行更细致的学科层面的研究。
This article demonstrates the feasibility of SSCI to measure the international output of Chinese social sciences. Based on the data base of empirical evidence, this paper points out the existence of data collection bias and discipline deviation in the database and its countermeasures. This article analyzes the data sources neglected in the current SSCI use process The problem has been deeply revealed. Despite questions of type diversity and linguistic endemicity and the impact of emerging databases, the SSCI is still the ideal database for measuring the international output of China’s social sciences. From the two perspectives of the whole thesis and high impact essay, it confirms the deviation of SSCI document collection. While WC discipline system has become the superiority of SSCI, it also has the problem of cross-disciplinary differences and subject categories. As an ideal measurement tool, when using SSCI, more attention should be paid to the analysis of source journals, and more careful research at the subject level should be carried out in a targeted manner or through literature clustering.