Working women and caste in India: A study of social disadvantage using feature attribution
This addresses social inequality in India by showing reduced caste-based work disparities for younger women, though it is incremental as it builds on existing methods.
The study investigated whether caste remains a strong predictor of women's work status and type in India by interpreting machine learning models with feature attribution, finding that caste is less important for younger women and they are more likely to hold white-collar jobs.
Women belonging to the socially disadvantaged caste-groups in India have historically been engaged in labour-intensive, blue-collar work. We study whether there has been any change in the ability to predict a woman's work-status and work-type based on her caste by interpreting machine learning models using feature attribution. We find that caste is now a less important determinant of work for the younger generation of women compared to the older generation. Moreover, younger women from disadvantaged castes are now more likely to be working in white-collar jobs.