Age, Gender, and Class Heterogeneity in Marital Status Stereotypes in Chinese Natural Language
This study employs large-scale Chinese pre-trained language models (BERT series) and the Fill-Mask Association Test (FMAT) to systematically measure gender- and age-based, as well as class-based, heterogeneity in marital status stereotypes embedded in natural language. Four sub-studies were designed to examine the effects of age (22–40 years), residence (urban vs. rural), and education (high vs. l