针对当前国内政策文本所包含信息的非量化导致具有操作性的政策分类标准缺乏的现状,借鉴扎根理论的"信息提取-归纳-概念化-重组"思想,在对改革开放以来国家各层面科技政策文本研读、对其结构梳理的基础上,提取科技政策的重要特征参数,确定政策文本编码和分类标准,并将1996—2007年北京市的科技政策文本转化为半结构化数据,进行类定量化分析。
In view of current situation that lacking operable policy classification standard which is resulted from the non-quantification of information involved in policy context,this paper,drawing on the idea of ground theory that information extraction-generalization-conceptualization-recombination,and based on the close reading and the structure carding of national ST policy context in every level from reform and opening up,extracts the crucial characteristic parameter of ST policies,and determines the encoding and classification standard of policy context,and transforms ST policy context of Beijing during 1996-2007 into the semi-structured data,and makes a quasi-quantitative analysis.