Russia’s Wagner Group/Africa Corps: an authoritarian conflict management examination
Bibliographic record
Abstract
The article examines Russia’s Wagner Group and its successor, Africa Corps, through the lens of Authoritarian Conflict Management (ACM) with its three levels of discourse, space, and economy. To set the analysis, the article first identifies ACM’s rationales and components in contradistinction to liberal peacebuilding. The article then interrogates Wagner Group’s activities in the Central African Republic (CAR) and Mali. It closes with a scrutiny of Wagner Group’s impact and limitations with ACM in mind and investigates the degree to which Africa Corps can be framed in the same manner. Collectively, these parts reveal that Wagner Group’s presence supported democratic erosion and authoritarian entrenchment in CAR and Mali. Yet human rights transgressions against civilians and particular attention to mining and economic activities spurred grievances amongst non-fighters, rebel groups, and jihadists alike in CAR and Mali. Quantitative personnel limitations of Wagner Group/Africa Corps both inform the stance taken and limit the ability to respond and assert dominance as per ACM considerations.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".