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Women belonging to the socially disadvantaged caste-groups in India havehistorically been engaged in labour-intensive, blue-collar work. We studywhether there has been any change in the ability to predict a woman'swork-status and work-type based on her caste by interpreting machine learningmodels using feature attribution. We find that caste is now a less importantdeterminant of work for the younger generation of women compared to the oldergeneration. Moreover, younger women from disadvantaged castes are now morelikely to be working in white-collar jobs.

Working women and caste in India: A study of social disadvantage using feature attribution