法学研究目标受众选择的大数据分析

法学研究目标受众选择的大数据分析

A Big-data Analysis of Choice of Target Audience of Legal Studies

    期刊名称：《法学研究》
    期刊年份：
    作者：周翔1,刘东亮2
    单位：1. 浙江大学光华法学院;2. 西安交通大学法学院
    中文关键词：legal study; law journal; big data; target audience; evaluation system
    英文关键词：legal study; law journal; big data; target audience; evaluation system
    中文摘要：
    文章为谁而写，是法学研究需要解决的基础性命题。从近二十年约2.5万篇法学核心期刊文章的大数据机器学习分类结果看，我国的法学研究成果呈多重目标格局，其中近三成服务于执法机关(包括行政机关和司法机关)，同时也有为立法者、执政者建言献策的成果。经检验，目标受众类型的选择与论文的传播能力以及获得基金支持的机会之间有显著相关性。这一决定成果影响力大小的机制迟早会被个体习得并不断强化，成为研究者选择目标受众类型的重要因素。该机制良性运转的关键是处理好学者和实践受众的关系，保持学术研究必要的自主性，警惕学术研究在追逐发表、经济支持时被有关主体“认知俘获”。
    英文摘要：
    For whom articles are written is a basic question of legal studies. The results of big data machine learning on about 25,000 core law journal articles in the past twenty years show that the legal research in China has displayed a multi-objective pattern, with nearly 30% of the articles written for law enforcement agencies (including administrative organs and judicial authorities), while some others making suggestions and recommendations to lawmakers and the government. According to the correlation test, the choice of the target audience affects the dissemination ability of a paper and its author's opportunity of obtaining fund support. Sooner or later, this mechanism for determining the impact of research outcomes will be learned by individual researchers, continuously strengthened, and become the important factor in the researchers' choice of their research goals. The key to the well operation of this mechanism is to maintain a good relationship between the academic circle and the practical realm and to keep the necessary and sufficient autonomy of academic research. Especially, we should maintain sharp vigilance against the tendency of academic circle being “cognitively captured” by relevant subjects in the pursuit of publication and financial support.
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