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在联合国气候谈判中的参与,合作和冲突
Paula Castro1, Victor Kristof2, Marlene Kammerer3
1Zurich University of Applied Sciences, School of Management and Law, Winterthur, CH-8401, Switzerland. paula.castro@zhaw.ch.
Scientific data
|December 16, 2025
概括
本研究介绍了一种算法和数据集,用于分析联合国气候变化框架公约 (UNFCCC) 中的谈判互动. 地球谈判公报 (ENB) 的自动编码为气候变化研究提供了宝贵的资源.
科学领域:
- 环境科学 环境科学
- 政治科学 政治科学是指政治学.
- 计算社会科学 计算社会科学
背景情况:
- 多边气候谈判是复杂的,涉及许多国家和集团.
- 了解谈判动态对于制定有效的气候政策至关重要.
- 关于谈判互动的现有数据集在范围和规模上是有限的.
研究的目的:
- 开发和验证用于编码谈判干预和交互的自动化算法.
- 创建一个全面的数据集,包括1995-2023年的谈判数据.
- 为分析多边谈判提供可重复使用的工具.
主要方法:
- 从地球谈判公报 (ENB) 中自动抓取和编码谈判摘要的数据.
- 数据集涵盖了"联合国气候变化框架公约" (UNFCCC) 框架下的多边谈判.
- 与手工编码的数据集进行验证,以评估准确性和确定局限性.
主要成果:
- 对1995-2023年期间的谈判干预和互动产生了一组数据集.
- 由于句子级别分析,自动化算法与手动编码相比,识别了较少的反对相互作用.
- 尽管有这种限制,但反对派互动的分布被认为是代表性的,而不是实质性的偏见.
结论:
- 开发的算法和数据集为研究气候变化谈判提供了可扩展的方法.
- 该算法可以适应分析ENB记录的其他谈判.
- 该资源有助于进一步研究国际环境政策和合作.
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