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Falling through the Cracks: Digital Infrastructures of Social Protection in Ecuador

机译:落下裂缝:厄瓜多尔的社会保护数字基础设施

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摘要

While cash transfers gain prominence as a response to the COVID-19 pandemic, there is a strong impulse to regard them as a stepping-stone towards the formalization of employment and universalization of social protection. This contribution problematizes how populations in informality are included in narrowly targeted social assistance interventions, which are heavily reliant on targeted schemes and fail to make informality legible to programme administrators. The focus of the article lies in the politics of exclusion and inclusion that permeate digital infrastructures, particularly data infrastructures such as social registries, that are used to target Ecuador's most prominent social assistance programme, Bono de Desarrollo Humano, and the COVID-related programme Bono de Proteccion Familiar. The article is based on ethnographic work, interviews and narrative analysis. It finds that social registries compiled for proxy means testing weaken the link between eligibility and informal employment and obscure the processes that perpetuate precarity. More recent data innovations, such as machine learning, are also insufficient to locate vulnerable workers as they learn from historical social registries data and replicate their biases, for example by overlooking non-poor areas where informal employment also occurs. Data infrastructures have shifted attention to the technicalities of the selection of beneficiaries and away from power imbalances in the design of social assistance, despite their selectivity and politics.
机译:虽然现金转移作为对Covid-19大流行的回应的突出,但对他们迈向踩踏石就业和普遍化社会保护的潮流,突出了强烈的冲动。这一贡献有利于非正式性中的人口在狭隘的社会援助干预中都包含在狭义上的社会援助干预中,这些援助干预措施严重依赖于目标计划,并且未能对计划管理员辨认出来的非正式性。文章的重点在于排除和包含渗透数字基础架构,特别是社会注册商等数据基础设施的政治,用于针对厄瓜多尔最突出的社会援助计划,Bono de Desarrollo Humano和Covid-相关的计划Bono de proteccion熟悉。这篇文章基于民族志工作,访谈和叙述分析。它发现,用于代理手段的社会注册表削弱了资格与非正式就业之间的联系,并掩盖了永久性的流程。最近的数据创新,如机器学习,也不足以定位弱势工人,因为他们从历史社会注册表数据中学到,例如通过忽视非正式就业的非贫困地区。尽管有选择性和政治,数据基础设施会对受益者选择的技术选择,并远离社会援助设计中的权力不平衡。

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