Accidental Orientations: Rethinking Queerness in Archival Times

Brian R. Schram
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引用次数: 6

Abstract

This paper critically interrogates the viability of “Queer” as an ontological category, identity, and radical political orientation in an era of digital surveillance and Big Data analytics. Drawing on recent work by Matzner (2016) on the performative dimensions of Big Data, I argue that Big Data’s potential to perform and create Queerness (or its opposites) in the absence of embodiment and intentionality necessitates a rethinking of phenomenological or affective approaches to Queer ontology. Additionally, while Queerness is often theorized as an ongoing process of negotiations, (re)orientations, and iterative becomings, these perspectives presume elements of categorical mobility that Big Data precludes. This paper asks: what happens when our data performs Queerness without our permission or bodily complacency? And can a Queerness that insists on existing in the interstitial margins of categorization, or in the “open mesh of possibilities, gaps, and overlaps” (Sedgwick 1993: 8), endure amidst a climate of highly granular data analysis?
偶然的取向:重新思考档案时代的酷儿
本文批判性地探讨了“酷儿”作为一种本体论范畴、身份和激进政治取向在数字监控和大数据分析时代的可行性。根据Matzner(2016)最近关于大数据的表现维度的工作,我认为大数据在缺乏体现和意向性的情况下表现和创造酷儿(或其对立面)的潜力需要重新思考酷儿本体论的现象学或情感方法。此外,虽然酷儿性通常被理论化为一个持续的谈判、(重新)定位和迭代的过程,但这些观点假设了大数据排除的绝对流动性元素。这篇论文提出的问题是:如果我们的数据在未经我们允许或身体满足的情况下表现出酷儿性,会发生什么?坚持存在于分类的间隙边缘,或者存在于“可能性、差距和重叠的开放网格”(Sedgwick 1993: 8)中的酷儿身份,能否在高度细化的数据分析环境中生存?
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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