Civil war as a social process: actors and dynamics from pre- to post-war
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
What accounts for overarching trajectories of civil wars? This article develops an account of civil war as a social process that connects dynamics of conflict from pre- to post-war periods through evolving interactions between nonstate, state, civilian, and external actors involved. It traces these dynamics to the mobilization and organization of nascent nonstate armed groups before the war, which can induce state repression and in some settings escalation of tensions through radicalization of actors, militarization of tactics, and polarization of societies, propelled by internal divisions and external support. Whether armed groups form from a small, clandestine core of dedicated recruits, broader networks, social movements, and/or fragmentation within the regime has consequences for their internal and external relations during the war. However, not only path-dependent but also endogenous dynamics shape overarching trajectories of civil wars. During the war, armed groups develop cohesion and fragment in the context of evolving internal politics, including socialization of fighters, institution-building in the areas that they control, which civilians can collectively resist, competition and cooperation with other nonstate and state forces, and external influence. After the war, armed groups transform to participate in continuing conflict and violence in different ways in interaction with multiple actors. This analysis highlights the contingency of civil wars and suggests that future research should focus on how relevant actors form and transform as they relate to one another to understand linkages between conflict dynamics over time and on continuities and discontinuities in these dynamics to grasp overarching trajectories of civil wars.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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