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Record W4403691054 · doi:10.1080/14678802.2024.2415659

Russia’s Wagner Group/Africa Corps: an authoritarian conflict management examination

2024· article· en· W4403691054 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueConflict Security and Development · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicPeacebuilding and International Security
Canadian institutionsCanadian Forces College
Fundersnot available
KeywordsAuthoritarianismPolitical scienceConflict managementGroup (periodic table)Ancient historyHistoryLawDemocracyPolitics

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.978
Threshold uncertainty score0.778

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.049
GPT teacher head0.317
Teacher spread0.269 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it