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Record W3046978994 · doi:10.3366/ajicl.2020.0323

What Weight (If Any) Should Be Attached to Children's Wishes and Views in Child Relocation Disputes? Lessons from Canada

2020· article· en· W3046978994 on OpenAlexaboutno aff
Motseotsile Clement Marumoagae

Bibliographic record

VenueAfrican Journal of International and Comparative Law · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Issues in South Africa
Canadian institutionsnot available
Fundersnot available
KeywordsRelocationAgency (philosophy)Best interestsAffect (linguistics)Political scienceLawFamily lawSociologySocial science

Abstract

fetched live from OpenAlex

This article discusses the participation of children in child relocation disputes in South Africa and Canada. It argues that there is a need for South African courts to recognise the agency of children who are at such a stage of development as to enable them to participate in family law disputes which affect them. It argues that South Africa can learn from Canada which utilises judicial interviews and Voice of the Child Reports to enable children to participate in parental disputes that involve them. This will assist courts to better understand children's views which they should attach adequate weight to without making such views decisive. This article further argues that when reaching their decisions on proposed relocations, courts should indicate that they considered children's views and that they have attached some weight to such views. This article also proposes amendments to the South African Children's Act which, it is hoped, will lead to the effective participation of children in matters that affect them.

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)0.006
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.101
Threshold uncertainty score0.731

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0180.010
Scholarly communication0.0070.003
Open science0.0010.004
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0040.000

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 head0.086
GPT teacher head0.349
Teacher spread0.263 · 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 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

Citations1
Published2020
Admission routes1
Has abstractyes

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