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上海大学学报(社会科学版) ›› 2019, Vol. 36 ›› Issue (1): 127-.

• 社会学研究 • 上一篇    

本体性意义与学科反思：大数据时代#br# 社会学研究的回应

  

  1. 南京大学社会学院
  • 收稿日期:2018-05-26 出版日期:2019-01-15 发布日期:2019-01-15

Ontological Meaning and Disciplinary Reflections: A Response to#br#  Sociological Researches in the Age of Big Data

  • Received:2018-05-26 Online:2019-01-15 Published:2019-01-15

摘要：

 大数据应用对社会学的研究产生了巨大的影响，以至于出现方法学转向乃至“理论终结说”的主张。但是，从本体论角度来说，大数据的局限性在于它过度简单化了社会生活，因而忽略抑或悬置了社会生活所具有的历史特殊意义。而大数据推崇者所宣称的意义指的是客观、普遍的意义，这无疑是一种曲解。此外，如果越来越多的学者热衷于“计算社会学”“新计算社会学”的研究，那么很可能会导致学科的分支化倾向。因而在大数据时代，我们更要秉持学科中的重要内容，即理论的意义以及人文的关怀。简言之，在学科反思的层面上，“溯洄涵泳”式的回应必要且紧迫。

关键词: 本体性意义, 学科反思, 理论终结, 大数据

Abstract:

 The impact of big data on sociological researches is so massive that a methodological turn or rather a statement of “The End of Theory” has occurred.  However, in the ontological perspective, the limitation of big data is that it over simplifies social life, thus ignoring or suspending its special historical meaning. The meaning declared by big data advocators refers to the objective and general meaning, which is a distorted interpretation. In addition, if more and more scholars are devoted to “computational sociology” or “new computational sociology”, a further disciplinary division will take place as a result. In this regard, we should uphold the essentials of the discipline such as theoretical significance and humanistic concern. In a nutshell, an urgent response to the big data era is necessary, which calls for “swimming against the stream” on the level of disciplinary reflection.

Key words:  big data, ontological meaning, the End of Theory, disciplinary reflection