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Record W4384451809 · doi:10.47348/sacj/v36/i1a5

The adequacy of rape criminalisation in modern South Africa: A comparative study

2023· article· en· W4384451809 on OpenAlexaboutno aff
Rinda Botha, Janine Peens

Bibliographic record

VenueSouth African Journal of Criminal Justice · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Issues in South Africa
Canadian institutionsnot available
Fundersnot available
KeywordsJurisdictionCLARITYLawCriminologyPolitical scienceCriminal lawSexual assaultSentenceSociologyPoison controlHuman factors and ergonomics

Abstract

fetched live from OpenAlex

In the past fifteen years, South Africa has embarked on substantial reform of its sexual offences laws. In many respects, these reforms are like those in other jurisdictions, addressing issues of definition and sentencing. Yet the country’s rape statistics remain startlingly high, and rape sentencing remains inconsistent. To assess the adequacy of rape criminalisation in South Africa, this article starts off with an overview of relevant local case law. It becomes clear that, although the state is not always consistent in prosecuting the accused of all variants of sexual penetration, prosecution in terms of the current, broader definition of rape is common, as is the imposition of minimum sentences for these convictions. Also, courts remain inconsistent in interpreting which factors should count as substantial and compelling circumstances to justify a lesser sentence. A comparative look at the legal position in England and Canada firstly confirms that rape remains a global concern, and that South Africa is not the only jurisdiction that has grappled with defining and sentencing the offence. Yet South Africa could stand to learn a few lessons from these two countries to further improve its law on rape. Recommendations include adopting a more succinct definition of rape, introducing more conduct-specific charges and sentencing (similar to England’s ‘assault by penetration’), and providing a well-defined list of substantial and compelling circumstances to establish greater legal clarity in the sentencing of rape offenders.

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)0.005
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.771

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.127
GPT teacher head0.379
Teacher spread0.252 · 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.

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

Citations1
Published2023
Admission routes1
Has abstractyes

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