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Record W4411771574 · doi:10.1080/21598282.2025.2506989

Exploring the Causes of Military Coups in Three Francophone West African Countries since 2020: A Class Analysis Based on the Centre-Periphery Relationship

2025· article· en· W4411771574 on OpenAlexaff
Chen Zhang, Maxence Poulin

Bibliographic record

VenueInternational Critical Thought · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal and Cross-Cultural Management
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsFrenchClass (philosophy)Political scienceGeographyDevelopment economicsEconomicsArchaeology

Abstract

fetched live from OpenAlex

From 2020, five successive military coups d’état took place in a short period in the three countries of francophone West Africa of Mali, Burkina Faso, and Niger. The newly established military juntas attempted to form a confederation. These coups and the efforts to build a confederation must be understood as a revolt of the periphery against French imperialism. Discovering the causes of these military coups and the roots of the opposition between the views of imperialist countries and those of the local population requires the application of a historical materialist perspective, starting from an analysis of the determinant economic relations. The long period of economic exploitation and political control by France made the military coups d’état the only option for the local populations of the three countries to break this unequal relationship and to pursue an auto-centric development path.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.091
Threshold uncertainty score0.182

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0040.003
Scholarly communication0.0040.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.045
GPT teacher head0.323
Teacher spread0.278 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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