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Record W4407799883 · doi:10.1163/17087384-bja10106

Re-Appraisal of Legal Systems in Sub-Saharan Africa: Questioning the Legal Pluralism Paradigm

2025· article· en· W4407799883 on OpenAlexvenueno aff
Motese Emmanuel Macarthy, Ikpenmosa Uhumuavbi

Bibliographic record

VenueAfrican Journal of Legal Studies · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Issues in South Africa
Canadian institutionsnot available
Fundersnot available
KeywordsLegal pluralismPluralism (philosophy)International lawPolitical scienceLaw and economicsLawEpistemologyLegal researchSociologyLegal realismPhilosophy

Abstract

fetched live from OpenAlex

Abstract The notion that multiple legal systems autonomously coexist in independent states in sub-Saharan Africa due to the interaction of the continent with foreign legal systems is theoretically flawed, misleading and an incorrect application of the concept of legal pluralism. This article examines the nature of legal pluralism in the context of transitioning independent nation-states. It contends that these nation-states, especially in sub-Saharan Africa, do not operate legally pluralistic legal systems, as often presented in scholastic works. Using system and lifecycle theories, this article argues against the prevailing conceptualization of legal pluralism in African legal systems. We argue that the prevailing conceptualization of pluralistic legal systems in sub-Saharan Africa is based on the fallacy of the undistributed middle, leading to flawed conclusions and disastrous governance outcomes. This widespread orthodoxy in legal and sociopolitical scholarship heightens perceived conflicts between imperial universalism and cultural existentialism, which has been the epicenter of legal discussion in Africa’s transitioning nations.

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)0.019
metaresearch head score (Gemma)0.031
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.100

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.031
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0070.004
Science and technology studies0.0080.039
Scholarly communication0.0110.013
Open science0.0020.008
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0020.000

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 head0.035
GPT teacher head0.350
Teacher spread0.315 · 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 designTheoretical or conceptual
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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