Making Predictions: Computing Populations
Making Predictions: Computing Populations
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DOI：
10.1177/0162243912439610
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发表时间：
2013-05-01
影响因子：
3.1
通讯作者：
Bauer, Susanne
中科院分区：
文献类型：
--
作者：
Holmberg, Christine;Bischof, Christine;Bauer, Susanne
统计数据构成了收集统计数据的社会领域。发展量化社会知识的必要基础是人口。如果量化的知识改变了社会，那么问题就出现了，个体如何成为人口的代表。在我们称之为“人口化”的过程中，人口必须从个体中提取出来。“这包括通过将个人数据汇编成人口数据及其分析，使个人发展成为人口的一部分。为了描述人口化的过程，我们采用了一种统计风险评估工具，即德国糖尿病风险评分，从一开始的队列研究到进入德国社会的公共领域。人口是通过识别号码从作为研究对象的个体中提取出来的。预处理后的信息被输入动态数据库，使其能够根据主要聚合重新排列。通过人口化，一个意义被制定，它可以被分割，在所有部分都是平等的。现在，预测可以被计算出来，并作为道德判断的工具反馈给社会。表演的个人和“社会”——无论是从数字上还是从字面上！——纠缠于风险知识的产生和制定。
Statistics constitute the social universe of which they are gathered. The foundation necessary to develop quantified knowledge about society is the population. If quantified knowledge changes society, the question arises on how individuals become to be represented as population. The population has to be extracted from individuals in a process that we call "populationisation.'' This encompasses the development of the individual into a segment of a population through the compilation of individual data into population data and its analysis. To describe the process of populationisation, we follow a statistical risk assessment tool, the German Diabetes Risk Score, from its inception in a cohort study to its entry into the public sphere of German society. The population is extracted from individuals that function as research subjects through an identification number. Preprocessed information is entered into a dynamic database that enables its rearrangement according to main aggregates. Through populationisation, a signified is enacted that can be sliced up and that is equal in all its parts. Now predictions can be computed and fed back to society as tools of moral judgment. The acting individual and "society'' are-numerically and literally!-entangled in the production and enactment of risk knowledge.