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Record W2009151479 · doi:10.7202/1013030ar

African Customary Marriages in South Africa and the Intricacies of a Mixed Legal System: Judicial (In)novatio or Confusio?

2012· article· en· W2009151479 on OpenAlexvenueno aff
Christa Rautenbach, Willemien Du Plessis

Bibliographic record

VenueMcGill Law Journal · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Issues in South Africa
Canadian institutionsnot available
Fundersnot available
KeywordsLawPolitical scienceLegal pluralismLegislatureConstitutionalismComparative lawLegal historyIndigenousLegal professionFamily lawCivil law (Civil law)Marriage lawCommon lawLegal realismPublic lawDemocracyPolitics

Abstract

fetched live from OpenAlex

South Africa has a mixed legal system comprised of transplanted European laws (the core being Roman-Dutch law, subsequently influenced by English common law) and indigenous laws, referred to as customary law. This mix is also evident in South Africa’s marriage laws, which can roughly be divided into two categories: civil marriages or unions, and African customary marriages. Since 1994, the developments in these two categories of marriage have been revolutionary. The case law reads like a jurisprudential chronicle of factual situations never contemplated by the legislator, and the judiciary must resort to innovation to solve the intricacies of a constitutionalized mixed legal system. To deal with the challenges posed by the interaction of two seemingly equal legal systems in one legal sphere, the courts have followed a variety of approaches including legal positivism, the application of common law principles, and, more recently, the notion of transformative constitutionalism. The primary aim of this essay is to discuss the sometimes innovative and at other times confusing approaches followed by the judiciary in dealing with the complexities created by a mixed legal system, especially with regard to marriages between Africans.

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 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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.876
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.029
GPT teacher head0.278
Teacher spread0.249 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations2
Published2012
Admission routes1
Has abstractyes

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