Desertion, Terrain, and Control of the Home Front in Civil Wars
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
This article examines desertion in civil wars, focusing on the role of combatants’ hometowns in facilitating desertion. Analyzing data from the Spanish Civil War, the article demonstrates that combatants who come from hill country are considerably more likely to desert than combatants whose hometowns are on flat ground. This is because evasion is easier in rough terrain. The finding implies that the cohesion of armed groups depends on control, not just positive incentives, and that control of territory in civil wars goes beyond rebel–government contestation, and consists also of control behind the lines. The article bridges micro and macro approaches to civil wars by indicating the multiple uses to which individuals can put structural conditions like rough terrain. This helps to clarify the macro-level link between rough terrain and civil war. It also shows that micro-level research can profitably examine structural variables alongside individual characteristics and endogenous conflict dynamics.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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) | 0.000 | 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