计算的普世主义,或,在规模上关注关系性
Francis Lee1,2, David Ribes3
1Media Technology, Södertörn University, Stockholm, Sweden.
Social studies of science
|July 14, 2025
概括
学者们采用计算术语的风险是掩盖了计算的普遍化目标. 检查翻译努力揭示了计算行为者如何创建连接,也揭示了它们的排除和偏见.
科学领域:
- 社会科学 社会科学 社会科学
- 人文科学 人文科学
- 计算研究 计算研究
背景情况:
- 在社会科学和人文科学中,越来越多地采用计算术语.
- 通过专注于本土计算对象 (例如数据,算法,AI) 和特定领域 (例如金融,卫生,治理) 来掩盖普遍化实践的风险.
研究的目的:
- 在研究中不批判地采用计算类别的问题化.
- 要突出这些类别如何作为认识陷,自然化计算普遍主义.
- 提出一种专注于翻译和对比劳动的替代方法.
主要方法:
- 批判性分析,借鉴知识传统,质疑普遍化的说法.
- 检查计算行为者如何建立跨尺度和边界的关系性.
- 专注于翻译和计量过程,使计算干预成为可能.
主要成果:
- 计算类别可以掩盖计算的普遍化野心.
- 这些类别自然化了计算普遍主义的扩展范围.
- 另一种方法揭示了计算相关性的成就和排除/偏见.
结论:
- 学者们应该超越接受硬化的计算类别.
- 参与翻译和对比的艰苦工作提供了更细致的理解.
- 这种观点阐明了计算普遍主义背后的劳动及其固有的局限性.
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