什么价值观最能区分世界文化? 基于机器学习的文化价值库
Abhishek Sheetal1, Shilpa Madan2, Rui Ling Lee3
1Faculty of Business, The Hong Kong Polytechnic University, Li Ka Shing Tower, Hung Hom, Kowloon, Hong Kong.
PNAS nexus
|August 28, 2025
概括
这项研究引入了基于机器学习的文化价值库 (ML-CVI),以识别传统理论之外的新文化构造. ML-CVI有助于解释跨文化心理差异,扩大社会科学研究框架.
科学领域:
- 社会心理学
- 文化心理学
- 计算社会科学
背景情况:
- 传统的文化心理学往往依赖于有限的理论构造,如个人主义-集体主义.
- 现有的框架可能忽略了解释跨文化心理差异的关键价值观.
研究的目的:
- 开发一种新的方法来揭示文化相关的价值观,
- 引入基于机器学习的文化价值库 (ML-CVI) 作为研究人员的工具.
主要方法:
- 通过神经网络和特征重要性分析结合预测和解释.
- 使用来自世界价值观调查的594种态度,价值观和信仰进行预测.
- 从前60个已识别的变量开发了ML-CVI.
主要成果:
- 根据调查数据, 神经网络在分类国籍方面取得了90%的准确性.
- 确定了推动民族差异的关键文化价值观,如基督教民族主义和力.
- 证明了ML-CVI在解释特定跨文化行为差异方面的实用性 (例如,COVID-19合规性,环保行为).
结论:
- ML-CVI扩展了解释跨文化心理差异的工具包.
- 基于机器学习的绑架推理提供了丰富社会科学解释框架的强大方法.
- 这种方法有助于发现以前未知的文化价值层面.
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