摘要
我国将于“十四五”末实现乡镇(街道)社工站全覆盖,社工站将纳入重点工作评估与基层绩效考核。基于对H省Z市D区政府购买社工站评估项目的参与式观察以及评估盲区假说的分析视角,研究发现当下社工站项目评估仍存在忽视文本材料的片面性、轻视专家评估的模糊性、无视对购买方的问责等评估盲区,一定程度上损伤了评估的全面性、准确性和公正性。评估盲区客观上由评估时间的临时性和评估空间的割裂性造成,主观上由政强社弱的合作关系导致。利用区块链理念和技术,建构社工站项目动态评估平台和云评估模式,进而通过技术赋权来重构评估时空线以及调适失衡的政社关系是减少评估盲区的有效方法。
China aims to achieve full coverage of social work stations in towns(streets)by the end of the"14th Five-Year Plan",incorporating these stations into key work evaluations and grassroots performance assessments.Based on participatory observations of the government-purchased social work station evaluation project in D district,Z city,H province,and an analytical perspective of the evaluation blind spot hypothesis,the study finds that current evaluations of social work station projects still suffer from blind spot,including the neglect of the one-sidedness of textual materials,the underestimation of the ambiguity of expert evaluations,and the disregard for accountability of the purchaser.These blind spots to some extent damage the comprehensiveness,accuracy,and fairness of the evaluations.The objective causes of evaluation blind spots are due to the temporariness of evaluation time and the fragmentation of evaluation space,while the subjective causes are due to the imbalanced cooperative relationship where the government is strong and social organizations are weak.Using blockchain concepts and technology to construct a dynamic evaluation platform for social work station projects and a cloud evaluation model,and then using technology to empower the reconstruction of the evaluation timeline and to adjust the imbalanced government-social relationship,is an effective method to reduce evaluation blind spots.
作者
韩江风
张明锁
HAN Jiang-feng;ZHANG Ming-suo(School of Politics and Public Administration,Zhengzhou University,Zhengzhou,Henan,450001,China)
出处
《西华大学学报(哲学社会科学版)》
2023年第6期73-83,共11页
Journal of Xihua University(Philosophy & Social Sciences)
基金
国家社会科学基金青年项目“区块链理念下社工站服务绩效动态监测平台与云评估机制研究”(项目编号:22CSH059)。
关键词
社工站项目评估
评估盲区假说
区块链
云评估模式
社会工作
social work station project evaluation
blind spot hypothesis in evaluation
blockchain
cloud evaluation model
social work