The datafication of anti-poverty programmes: evidence from the public distribution system in Karnataka

Soumyo Das, S. Masiero
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引用次数: 2

Abstract

The notion of datafication implies rendering existing objects, actions and processes into data. This research-in-progress paper focuses on the meaning of datafication for anti-poverty programmes, conceived as social welfare schemes designed specifically for poor people. Drawing on a state-level case study of the adoption of Aadhaar, India's biometric population database, within the main national food security programme, we illustrate a techno-rational perspective that views datafication as capable of enhancing the effectiveness of anti-poverty schemes. At the same time, field narratives collected from beneficiaries show multiple forms of data injustice including informational gaps, restriction of the universal right to food to the enrolled, and exclusion of entitled households from service provision. Based on the qualitative research conducted on the scheme we put forward a politically embedded view of data, framing datafication as a transformative force that concurs to deep reform of existing anti-poverty programmes.
反贫困项目的数据化:来自卡纳塔克邦公共分配系统的证据
数据化的概念意味着将现有的对象、操作和过程呈现为数据。这篇正在进行的研究论文着重于数据化对反贫困方案的意义,这些方案被认为是专门为穷人设计的社会福利计划。通过在主要的国家粮食安全计划中采用印度生物识别人口数据库Aadhaar的州级案例研究,我们阐述了一种技术理性的观点,即认为数据化能够提高反贫困计划的有效性。与此同时,从受益人那里收集的实地叙述显示出多种形式的数据不公正,包括信息差距、对登记者的普遍食物权的限制以及有资格的家庭被排除在服务提供之外。基于对该方案进行的定性研究,我们提出了一种政治嵌入的数据观点,将数据化视为一种变革力量,与现有反贫困计划的深度改革相一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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