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The Testimonial Competence of Children: A Need for Law Reform in South Africa

2018· article· en· W2798102003 on OpenAlexaboutno aff
Mildred Bekink

Bibliographic record

VenuePotchefstroom Electronic Law Journal/Potchefstroomse Elektroniese Regsblad · 2018
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsnot available
Fundersnot available
KeywordsTestimonialWitnessLawCompetence (human resources)OfficerPsychologyCross-examinationPolitical scienceVictimisationAppealCriminologySocial psychologyMedicinePoison controlSuicide prevention

Abstract

fetched live from OpenAlex

Modern-day research studies conducted on the victimisation of children in South Africa show that South African children in particular experience and witness exceptionally high levels of crime and consequently represent a significant portion of the victims and witnesses that have to appear in court to testify about these crimes. In South Africa, as in many other countries, a child is, however, permitted to testify in a criminal court only once the presiding officer is satisfied that the child is competent to be a witness. The competency test, though, presents a critical initial challenge for child witnesses, as it focuses on their ability to answer questions about the concepts of truth and lies. These inquiries can be intimidating and confusing, especially to younger children, and may result in children who would otherwise have been capable of giving evidence being prevented from giving their testimony. Various legal and psychological fraternities have accordingly called for the abolition or amendment of the truth-lie competency requirement. Recent psychological research about the potential of a child to lie has once again raised fundamental questions about the competency inquiry, suggesting that an assessment of children's understanding of truth and lies has no bearing on whether the child will in fact provide truthful evidence in court. These empirical findings precipitated the amendment of competency rules by various countries such as the United Kingdom and Canada. The findings likewise raise serious questions and or doubt about the suitability of the South African competency requirements. The purpose of this paper is to review the current South African position with a view to proposing suggestions for meaningful legal reform.
 

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.743
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0020.002
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0010.002
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 head0.014
GPT teacher head0.269
Teacher spread0.255 · 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 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

Citations1
Published2018
Admission routes1
Has abstractyes

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