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Mad CoW: A Reply to Gibler and Miller
International Studies Quarterly ( IF 2.799 ) Pub Date : 2022-08-31 , DOI: 10.1093/isq/sqac035
Jason Lyall

In Divided Armies, I argue that inequality within armies (“military inequality”) has shaped their battlefield performance in conventional wars since 1800. Gibler and Miller (2022) are unpersuaded. They raise a flurry of concerns about the cross-national evidence and one statistical analysis in the book’s Chapter 4. In particular, they maintain that Project Mars, the book’s dataset, offers nothing new compared to the Correlates of War (CoW). I find their criticisms misplaced. I use their own statistical models for reanalyzing Project Mars to demonstrate that military inequality is an important driver of battlefield performance across six different measures in all types of CoW wars over the past 200 years. We should build, not bury, a research program that further explores the relationship between inequality and political violence.

中文翻译:

疯牛:对 Gibler 和 Miller 的回复

在《分裂的军队》中,我认为自 1800 年以来,军队内部的不平等(“军事不平等”)影响了他们在常规战争中的战场表现。Gibler 和 Miller(2022 年)没有被说服。他们对本书第 4 章中的跨国证据和一项统计分析提出了一系列担忧。特别是,他们坚持认为,与战争相关性 (CoW) 相比,本书的数据集火星计划没有提供任何新内容。我发现他们的批评是错误的。我使用他们自己的统计模型来重新分析火星计划,以证明在过去 200 年中,军事不平等是影响所有类型的 CoW 战争中六种不同衡量标准的战场表现的重要驱动因素。我们应该建立而不是埋葬一个研究项目,进一步探索不平等与政治暴力之间的关系。
更新日期:2022-08-31
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