寻找不确定性:智能时代运动社会学的研究转向——基于对人工智能最新发展的思考
Searching for Uncertainty:The Transformation of Sports Sociology in the Intelligent Age——Reflection on the Latest Development of Artificial Intelligence
王智慧1
作者信息
- 1. 中国人民大学社会与人口学院,北京 100872;中国人民大学体育部,北京 100872;中国人民大学社会学理论与方法研究中心,北京 100872
- 折叠
摘要
在从ChatGPT到Sora等人工智能发展阶段性成果的推广应用下,运动参与空间、运动参与主体发生变化,对运动社会学研究产生了深刻影响.从本体、认识和方法3个层面,探讨了运动社会学在智能时代的研究转向.首先,伴随智能时代社会空间重置、人类与机器等多主体的能动性进一步释放,运动社会学研究中以身体为载体的运动价值和意义也发生了转变.其次,运动社会学在智能时代的研究实践中,基于人与非人主体的现实/虚拟共在与互动的增加,而获得更广的研究指涉,应与时俱进地更新对其研究议题、研究伦理、解释机制的认识.第三,需客观把握定量研究、定性研究、混合研究在具体相关研究中的优势与不足,以提升运动社会学研究的人文性与科学性.
Abstract
Under the promotion and application of phased achievements in the development of artificial intelligence from Chat-GPT to Sora,changes have occurred in the space and subjects of sports participation,which has had a profound impact on the study of sports sociology.From the ontological,cognitional and methodological level of analysis,this paper discusses the re-search trend of sports sociology in the age of intelligence:First of all,with the resetting of social space in the era of intelli-gence and the further release of multi-agent agency such as humans and machines,the value and significance of physical ac-tivities based on the body in the study of sports sociology has also changed.Secondly,in the research practice of the age of in-telligence,sports sociology has gained wider research implications based on the increase of real/virtual co-existence and in-teraction between human and non-human subjects.Therefore,we should update our understanding of its research topics,re-search ethics and explanation mechanism with The Times.Thirdly,it is necessary to objectively grasp the advantages and dis-advantages of quantitative research,qualitative research and mixed research in specific related research,so as to enhance the humanistic and scientific nature of sports sociology research.
关键词
运动社会学/身体/人工智能/虚拟表象/社会关系/社会空间Key words
sports sociology/body/artificial intelligence/virtual representation/social relations/social space引用本文复制引用
基金项目
国家社会科学基金重点项目(23ASH011)
中国人民大学"双一流"跨学科重大创新规划平台支持项目()
出版年
2024
NETL
NSTL
万方数据