基于PMC指数模型的中国科技人才评价政策量化分析与启示OACHSSCD

[Purpose/Significance]Deepening the reform of scientific and technological(S&T)talent eval-uation urgently requires the support of a scientific effective,and evidence-based policy system.The quantitative evaluation results of S&T talent evaluation policies can provide useful references for the adjustment and optimisa-tion of related policies,which is of far-reaching significance for stimulating the innovation vitality of S&T talents and boosting the construction of an innovative country.[Method/Process]Based on the 73 S&T talent evaluation policies issued by China's central government since 2012,this study adopts the methods of text mining and PMC index model to construct an evaluation system consisting of 10 first-level variables and 45 second-level variables,and selects 10 policies to carry out multi-dimensional quantitative evaluation.[Result/Conclusion]The findings indicate that the overall quality of the policies is high,but the scores on the indicators of policy timeliness,policy subject and policy guarantee are low,and the policy contents need to be expanded.It is recommended that in the process of policy formulation,the policy content should be enriched continuously,the overall timeliness should be emphasised,the synergy of relevant departments should be strengthened,and the effect of policy implementation should be ensured through the implementation of diversified policy tools and safeguard measures.