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Computational Insights into the Social Integration of Agricultural Migrants Populations: A Hybrid Approach Using SEM and Machine Learning Methods

Thu, April 3, 1:30 to 3:00pm CDT (1:30 to 3:00pm CDT), Palmer House Hilton, Floor: 5th, Buckingham

Brief Overview

The study explores key factors affecting the social integration of agricultural migrants in Jilin, using SEM and machine learning to emphasize the roles of policy cognition, social trust and identity, providing new evidence for social capital theory.

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