Land grievances and the mobilization of electoral violence
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Recent studies have asked why elites resort to violence, yet many overlook the process and dynamics of mobilizing violence. How do politicians convince their supporters to fight? This article argues that in multi-ethnic and democratizing societies where land and property rights are weak and politicized, land grievances can provide leaders with a powerful tool to organize electoral violence. We develop a theory to show how land grievances can give rise to violent mobilization when leaders frame elections as a threat to the land security of supporters or an opportunity to reclaim land or strengthen land rights. Conversely, land grievances are ineffective when citizens do not believe that elections signal a credible threat to their land security or an opportunity to strengthen land rights. We further specify how the type of land grievance shapes the logic and form of violent action. Grievances based on land insecurity shape a pre-emptive logic of violence, while grievances based on competing land claims often shape an opportunistic logic of electoral violence. The article examines the validity of our theory using a comparative case study between zones of escalation and non-escalation of violence during post-electoral crises in Kenya (2007–08) and Côte d’Ivoire (2010–11). By observing the variation between positive and negative cases, the article identifies factors that foment and constrain the mobilization of election violence.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it