Castes in India: Their Mechanism, Genesis and Development

By G. L. Bon. 2016

Subfields: Natural Language Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Natural Language Processing

1. Ben Hutchinson
2. Vinodkumar Prabhakaran
3. Ashwin Rajadesingan
4. David Jurgens
5. Nithya Sambasivan
6. Yulia Tsvetkov

Citations in the corpus

• Re-imagining Algorithmic Fairness in India and Beyond (2021, background): “Sub-groups like caste (endogamous, ranked social identities, assigned at birth [17, 191]),1 gender, and religion require different fairness implementations; but AI sys-”
• Smart, Responsible, and Upper Caste Only: Measuring Caste Attitudes through Large-Scale Analysis of Matrimonial Profiles (2019, background): “These “arranged” marriages are usually endogamous with the bride and groom belonging to the same caste, reinforcing caste lines (Ambedkar 2004).”