The Gendarmerie, Information Collection, and Colonial Violence in French North Africa Between the Wars
Bibliographic record
Abstract
Focusing on the gendarmerie forces of the three French Maghreb territories, this article explores the relationships between paramilitary policing, the collection of political intelligence, and the form and scale of collective violence in the French Empire between the wars, and considers what, if anything, was specifically colonial about these phenomena. I also assess the changing priorities in political policing as France's North African territories became more unstable and violent during the Depression. The gendarmeries were overstretched, under-resourced, and poorly integrated into the societies they monitored. With the creation of dedicated riot control units, intelligenceled political policing of rural communities and the agricultural economy fell away. By 1939 the North African gendarmeries knew more about organized trade unions, political parties, and other oppositional groups in the Maghreb's major towns, but they knew far less about what really drove mass protest and political violence: access to food, economic prosperity, rural markets, and labor conditions.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.012 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".