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In: Yayın / Toplumsal, Ekonomik, Siyasal Araştırmalar Vakfı, 4
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In: Yayın / Toplumsal, Ekonomik, Siyasal Araştırmalar Vakfı, 4
World Affairs Online
World Affairs Online
World Affairs Online
World Affairs Online
In: Espace international, 1
In: Collection du Centre d'Études et de Recherches Internationales de la Fondation Nationale des Sciences Politiques, 430
World Affairs Online
In: Minority Rights Group International Report, 5/91
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World Affairs Online
In: Strategic analysis: articles on current developments, Band 29, Heft 2, S. 317-331
ISSN: 0970-0161
World Affairs Online
In: Wochenschau für politische Erziehung, Sozial- und Gemeinschaftskunde. Sek. I, Band 36, Heft 2, S. 41-80
ISSN: 0342-8990
In: International studies quarterly: the journal of the International Studies Association, Band 66, Heft 2, S. 1-9
ISSN: 1468-2478
Project Mars released what it claims to be a completely new dataset of 250 wars fought since 1800 and claims these data do not suffer from Western biases of other data projects (e.g., the Correlates of War [CoW]) that apparently overlook non-Western conflicts. These data featured prominently in a recent argument in Divided Armies (2020) about the negative relationship between military inequality and battlefield performance. Our appraisal of both the data and the argument advanced in Divided Armies suggests some caution with these claims. Project Mars does not amount to a completely new dataset on conventional wars. Instead, Project Mars only evaluated CoW's interstate war data, missed that the bulk of its wars are available elsewhere in CoW's data repository (i.e., as intrastate or extrastate wars), and may have missed important observations in CoW's typology (prominently intrastate wars) that could double the size of Project Mars. Combined with additional misgivings about the quality of Project Mars' coding and how the military inequality data were not constructed as Project Mars implies, these have important implications for the core argument advanced in Divided Armies. Scholars of war should not pool wars in their statistical models as Project Mars does.
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In: suhrkamp taschenbuch wissenschaft 2191
In: Economic Report, 4
World Affairs Online