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

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Tác giả: Chaitanya K Joshi, Kuhu Joshi

Ngôn ngữ: eng

Ký hiệu phân loại: 305.48 Specific kinds of women

Thông tin xuất bản: 2019

Mô tả vật lý:

Bộ sưu tập: Metadata

ID: 162881

 Comment: Presented at the ICLR AI for Social Good Workshop 2019
  Updated with Addendum (Jan 2020)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.
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