Documenting Inter-personal Conflicts in Senegal during the First Quarter the 20th Century using Dispute Registries from Native Courts
Bibliographic record
Abstract
In the early 20th century, in countries of former French West Africa, new litigation bodies, the socalled `native courts', were created and managed by the French colonial administration to regulate relations between native people. The monitoring of court activity has generated high-frequency litigation data. Such data provide a unique opportunity to document interpersonal conflict in a context of colonial rule that is undergoing rapid transformation. This paper has three objectives: (i) describe the institutional framework allowing for the emergence of the data on which this research is based-Les Etats Récapitulatifs-; (ii) detail our method to compile time series of disputes arbitrated by native courts of Senegal; (iii) describe certain trends in the dynamics of disputes arbitrated by native courts of Senegal. We conclude by discussing how this database could be used to better understand the economic and political roots of interpersonal conflict.
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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 | 0.005 | 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 | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| 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".