Uncovering Hidden Biases in Indian Higher Educational Spaces: Insights from the Reservation Implementation Index

Anupam Kumar Yadav et al.

The International Journal of Community and Social Development2026https://doi.org/10.1177/25166026251409899article
AJG 1
Weight
0.50

What the paper says

Despite India’s reservation policy mandating social inclusion in central universities (CUs), systemic barriers persist, limiting access for students and faculty from underprivileged groups, for example, Scheduled Castes and Tribes and Other Backward Classes. This article critically examines the gap between policy and practice, assessing how effectively reservations have been implemented and their impact on higher education spaces (HES). To measure compliance, we develop a Reservation Implementation Index, combining fieldwork data with secondary sources. Case studies of Delhi University and the University of Hyderabad illustrate the stark consequences of non-implementation of this policy. Whereas the findings reveal the high potential of reservation policy in making HES more inclusive and diverse; they also highlight the poor implementation of reservation policies in most CU campuses, especially at the faculty level. The findings are useful in addressing debates and perceptions about reservation and to have a few policy recommendations for successfully implementing the reservation policies for making the HES more inclusive and dynamic.

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https://doi.org/https://doi.org/10.1177/25166026251409899

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@article{anupam2026,
  title        = {{Uncovering Hidden Biases in Indian Higher Educational Spaces: Insights from the Reservation Implementation Index}},
  author       = {Anupam Kumar Yadav et al.},
  journal      = {The International Journal of Community and Social Development},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1177/25166026251409899},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.