筛选方法:数字人文学科中的可视化

E. Shevelev
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引用次数: 1

摘要

本文对可视化在数字人文学科中的方法论地位提出了质疑。数字人文学科提供了对当代人文学科中使用计算机的社会、认识论和方法论影响的批判性理解。本文从计算的角度来考虑知识生产的过程。事实证明,它是人类思维、技术、数字网络、算法和程序代码之间共享的。在这种情况下,可视化成为人与计算机之间的连接点。在这里,意义和解释的产生变得特别密集。与此同时,人文学科中可视化的顺序和策略往往没有被学者们批判性地理解。在这种情况下,从建构主义的角度对数字可视化提出方法论问题显得尤为及时。本文的出发点是我们在奥布宁斯克数字项目中面临的挑战。为了开发可视化分析工具,我们对不同数字人文项目中现有的可视化经验进行了研究。在比较分析的帮助下,我们确定并描述了数字可视化使用的主要问题和效果。基于分析的结果,我们将展示转向数据可视化的想法如何降低人文学科中数字可视化的认识论潜力,以及新的视觉技术如何改变可视化工作的实践。我们还将展示如何使用多学科方法,知识生产的顺序和方法可以通过可视化技术改变。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Screening Methodology: Visualization in Digital Humanities
The paper problematizes methodological status of visualization in digital humanities . Digital humanities offer a critical comprehension of the social, epistemological and methodological effects of using computer in contemporary humanities. The process of knowledge production is considered here in the light of computation. It turns out to be shared between human thinking, technologies, digital networks, working of algorithms and program code. In such conditions visualization becomes a point of junction between a human and a computer. The production of meanings and interpretations here becomes especially intensive. At the same time orders and strategies of visualization used in various disciplines of humanities are often not comprehended critically by the scholars. In such situation posing methodological questions to digital visualization from the point of constructionism is especially timely. The starting point for this paper was the challenges we faced in the Obninsk digital project. In order to develop visual analytical tools we conducted our research on the existing visualization experience in different digital humanities projects. With the help of comparative analysis we identified and described the main problems and effects of digital visualization use. Basing on the results of the analysis, we will show how turning to the idea of data visualization reduc es epistemological potential of digital visualization in the humanities, and how new visual technologies change practices of work with visualizations. We will show also how using multidisciplinary approach, the order and methodology of kno wledge production can be changed through visualization technologies.
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