five

Replication data for Mobilisation and Armed Conflict

收藏
NIAID Data Ecosystem2026-03-11 收录
下载链接:
https://doi.org/10.7910/DVN/8ESQMX
下载链接
链接失效反馈
官方服务:
资源简介:
The presence of protests before, during armed conflict, and after armed conflict across the globe contradict the idea that different expressions of conflict - protest and armed conflict- are unrelated. This research claims that the relation between different expressions of conflict can be studied as related. This approach revaluates the contributions of T.R. Gurr (2011) and others (Skocpol, 1979; Tilly, 2006; Tarrow S. G., 1993) on protest, rebellion and armed conflict (Bartusevičius & Gleditsch, A Two-Stage Approach to Civil Conflict: Contested Incompatibilities and Armed Violence, 2019; Goldstone, 2019; Shultziner & Goldberg, 2019). ‘Different’ forms of conflict, such as protests, protest cam-paigns, and armed conflict, can be therefore understood and analysed as part of wider processes of collective action. The escalation towards armed conflict, the de-escalation away from armed conflict, and the re-currence of specific expressions of conflict across time can be analysed in relation to the changes in political participation, inequality, the strength of the state institutions, the legitimacy of the state, and the provision of public services in a given country. To achieve this aim, this study focuses on two case studies: South Africa and Colombia, examining different possible hypotheses of the ‘patterns’ of interconnection and disconnection between particular expressions of conflict such as protests, protest campaigns and armed conflict. The study examines these forms of conflict in Colombia between 1948 and 2016, and in South Africa during 1948-2008. The possibility of under-standing the relation between different expressions of conflict is exam-ined through a mixed methodology that combines the use of quantita-tive and qualitative data framed within a process tracing analysis.
创建时间:
2020-07-31
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作