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关于北美激进的环境直接行动事件的历史时空数据

Zack W Almquist¹, Benjamin E Bagozzi¹, Daria Blinova¹

¹University of Washington, Seattle, 98195, WA, USA and University of Delaware, Newark, 19716, DE, USA.

|April 25, 2025

概括

本研究引入了美国和加拿大 (1995-2007) 激进环境直接行动的新型数据集. 这些数据使环境活动的新分析成为可能,并验证了大型语言模型 (LLM) 工具.

科学领域:

环境社会学环境社会学
政治科学政治科学是指政治学.
数据科学数据科学数据科学

背景情况:

关于激进的环保团体的事件数据很少,因为媒体报道不一致,团体保密.
现有的研究缺乏全面的数据集来分析这些群体的直接行动.

研究的目的:

创建一个详细的,历史的时空数据集的激进的环境直接行动事件在美国和加拿大从1995年至2007年.
促进对环境活动的定性和定量研究.
为了使大型语言模型 (LLM) 工具用于事件数据提取的验证.

主要方法:

从激进的环保团体和盟友的原始报告中编码的历史事件数据.
收集事件级数据,包括类型,日期,地理位置,目标和原始文本报告.
开发了第二个,聚合的数据集在0.5×0.5小数度空间网格年级,环境和社会相关.

主要成果:

现在可以获得1995-2007年期间的激进环境直接行动的综合数据集.
数据包括事件具体情况和原始文本报告,适合各种分析方法.
一个聚合的数据集使大规模的时空环境活动的统计分析更容易.

结论:

这一数据集解决了社会和政治事件数据的关键差距,特别是激进的环保活动.
这些数据的可用性将刺激对环境直接行动的原因和决定因素的新研究.
该数据集是验证和改进社会科学研究中LLM应用的宝贵资源.

关键词:

动物解放运动动物解放运动动物权利动物权利加拿大加拿大加拿大加拿大加拿大环保主义环保主义事件数据事件数据激进的环保活动主义.美国的美国.

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