在废物成分研究中,感官劳动作为无知:识别翻译链
Taru Lehtokunnas1, Niina Uusitalo1, Ulla-Maija Sutinen1
1Faculty of Social Sciences, Tampere University, Tampere, Finland.
Social studies of science
|July 23, 2025
概括
这项研究揭示了废物成分分析中的感官劳动如何将混乱的现实废物转化为废物政策的可用数据. 它强调了用于循环经济的废物量化所涉及的挑战和方法.
科学领域:
- 社会科学 社会科学 社会科学
- 废物管理研究 废物管理研究
- 循环经济研究 循环经济研究
背景情况:
- 废物成分研究对于追踪社会废物类型和比例至关重要.
- 了解这些研究中的数据生成过程对于有效的废物管理至关重要.
研究的目的:
- 检查芬兰一家废物管理公司的研究中关于废物的统计知识的产生.
- 研究感官劳动在将废物转化为数值数据中的作用.
主要方法:
- 人种学实地调查被用来观察和分析废物成分研究.
- 该研究遵循了涉及数据收集和分析的行动链.
主要成果:
- 将废物转化为数值知识的过程需要大量的感官劳动.
- 感官和废物的物理性质之间的相互作用在数据量化方面提出了挑战.
- 这些挑战的管理是为了确保废物政策准确的数据.
结论:
- 感官劳动是废物成分研究中的关键,但经常被忽视的组成部分.
- 解决感官劳动的挑战是产生可靠的废物政策数据的关键.
- 强调感官劳动的作用为循环经济的运作提供了洞察力.
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