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Record W2240436108

The right to language in court: A language right or a communication right?

2009· article· en· W2240436108 on OpenAlexaboutno aff
H. J. Lubbe

Bibliographic record

VenueDialnet (Universidad de la Rioja) · 2009
Typearticle
Languageen
FieldHealth Professions
TopicInterpreting and Communication in Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsInterpreterLanguage policyPolitical scienceLawConstitutional rightRight to a fair trialLanguages of AfricaConstitutional courtLinguisticsHuman rightsSociologySupreme courtComputer sciencePedagogyConstitution
DOInot available

Abstract

fetched live from OpenAlex

About a year ago a report appeared in the South African print media (Ngalwa 2007) under the heading Language policy in courts in the dock. It highlighted the fact that of the eleven official languages in South Africa only two, English and Afrikaans, remain the languages of record in the country's courts, while the other languages are translated by court interpreters. In comparison with language rights in the education system, which are continually debated, both in South Africa (Heugh 2002, Malherbe 2004, Webb 2006, Webb 2007) and internationally (Skutnabb-Kangas 2000, Skutnabb-Kangas 2002), language rights in the judiciary receives relatively little attention. In this contribution some arguments offered for the trail on the language policy in courts will be discussed. Especially with reference to court cases in South African and Canadian judicature, the importance of language in the right of an accused to a fair trial, will be commented on. In the first section of the contribution a short historical overview of the language requirements relating to the South African judiciary will be given, followed by a discussion of the two main arguments, viz. the right to language use in court is a communication right versus the view that it is a language right.

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)0.002
metaresearch head score (Gemma)0.000
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: Empirical
Teacher disagreement score0.569
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.016
GPT teacher head0.380
Teacher spread0.364 · 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

Citations4
Published2009
Admission routes1
Has abstractyes

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