量化。支持和限制

Q1 Social Sciences
John Carson
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引用次数: 5

摘要

我们生活在一个数字泛滥的世界。表格、图形、图表、Fitbit读数、充斥我们屏幕的电子表格、经济预测、气候模型、天气预测、期刊影响因子、h指数等等,这些都只是皮毛。我们被衡量,被调查,并受到持续的监视,主要是通过量化我们自己和我们周围世界的一系列令人眼花缭乱的特征。本文借鉴了智能量化和测量历史上的工作,以及量化历史上的其他例子,表明量化和测量不仅应该被视为技术追求,而且应该被视为规范追求。每一种看的行为,无论是通过视觉还是数字,也是一种遮挡行为,一种看不见的行为。通过将问题转化为数字比较来做出更有序、更理性的决策的每一个举动,也都是在使未包括在内的因素变得无关紧要、往往是不可见。量化所依赖的缩减和简化无疑可以带来巨大而重要的清晰度,但总是要付出代价的。对于从业者来说,道德问题不仅仅是成本是否合理,更重要的是,谁被要求支付这笔费用?
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantification – Affordances and Limits
We live in a world awash in numbers. Tables, graphs, charts, Fitbit readouts, spreadsheets that overflow our screens no matter how large, economic forecasts, climate modeling, weather predictions, journal impact factors, H-indices, and the list could go on and on, still barely scratching the surface. We are measured, surveyed, and subject to constant surveillance, largely through the quantification of a dizzying array of features of ourselves and the world around us. This article draws on work in the history of the quantification and measurement of intelligence and other examples from the history of quantification to suggest that quantification and measurement should be seen not just as technical pursuits, but also as normative ones. Every act of seeing, whether through sight or numbers, is also an act of occlusion, of not-seeing. And every move to make decisions more orderly and rational by translating a question into numerical comparisons is also a move to render irrelevant and often invisible the factors that were not included. The reductions and simplifications quantifications rely on can without question bring great and important clarity, but always at a cost. Among the moral questions for the practitioner is not just whether that cost is justified, but, even more critically, who is being asked to pay it?
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来源期刊
Scholarly Assessment Reports
Scholarly Assessment Reports Social Sciences-Communication
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