Working women and caste in India: A study of social disadvantage using feature attribution
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 model...
| Autores principales: | , |
|---|---|
| Formato: | Conference Paper |
| Lenguaje: | Inglés |
| Publicado: |
2019
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/146126 |
| _version_ | 1855521730421850112 |
|---|---|
| author | Joshi, Kuhu Joshi, Chaitanya K. |
| author_browse | Joshi, Chaitanya K. Joshi, Kuhu |
| author_facet | Joshi, Kuhu Joshi, Chaitanya K. |
| author_sort | Joshi, Kuhu |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | 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. |
| format | Conference Paper |
| id | CGSpace146126 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| record_format | dspace |
| spelling | CGSpace1461262024-10-25T07:55:23Z Working women and caste in India: A study of social disadvantage using feature attribution Joshi, Kuhu Joshi, Chaitanya K. innovation gender machine learning capacity development labour workforce women caste systems female labour 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. 2019-05-21 2024-06-21T09:05:54Z 2024-06-21T09:05:54Z Conference Paper https://hdl.handle.net/10568/146126 en Open Access Joshi, Kuhu; and Joshi, Chaitanya K. 2019. Working women and caste in India: A study of social disadvantage using feature attribution. Presented at the AI for Social Good ICLR2019 Workshop, in Ernest N. Morial Convention Center, New Orleans, United States, May 06, 2019. https://aiforsocialgood.github.io/iclr2019/accepted/track1/pdfs/18_aisg_iclr2019.pdf |
| spellingShingle | innovation gender machine learning capacity development labour workforce women caste systems female labour Joshi, Kuhu Joshi, Chaitanya K. Working women and caste in India: A study of social disadvantage using feature attribution |
| title | Working women and caste in India: A study of social disadvantage using feature attribution |
| title_full | Working women and caste in India: A study of social disadvantage using feature attribution |
| title_fullStr | Working women and caste in India: A study of social disadvantage using feature attribution |
| title_full_unstemmed | Working women and caste in India: A study of social disadvantage using feature attribution |
| title_short | Working women and caste in India: A study of social disadvantage using feature attribution |
| title_sort | working women and caste in india a study of social disadvantage using feature attribution |
| topic | innovation gender machine learning capacity development labour workforce women caste systems female labour |
| url | https://hdl.handle.net/10568/146126 |
| work_keys_str_mv | AT joshikuhu workingwomenandcasteinindiaastudyofsocialdisadvantageusingfeatureattribution AT joshichaitanyak workingwomenandcasteinindiaastudyofsocialdisadvantageusingfeatureattribution |