Disloyalty and Logics of Fratricide in Civil War: Executions of Officers in Republican Spain, 1936-1939
Why this work is in the frame
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Bibliographic record
Abstract
Violence within armed groups in civil wars is important and understudied. Linking literatures on civil war violence and military politics, this article asks when this fratricidal violence targets soldiers who try to defect, and when it does not. It uses a unique data set of executions of officers on the Republican side of the Spanish Civil War. The article finds that while much of the violence appeared to target those who actually tried to defect, many nondefectors were likely shot too, due most likely to a pervasive stereotype that officers in general were disloyal to the Republic. This stereotype was used as an information shortcut and was promoted by political actors. Accordingly, unlikely defectors were likelier to be shot in locations in which less information was available about loyalties and in which political forces that were suspicious of officers as a group were locally stronger.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.004 |
| 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