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Record W7147256335 · doi:10.38140/jjs.v32i2.2944

Gronde vir die weiering van toegang tot inligting soos van toepassing op openbare instellings (deel I)

2007· article· W7147256335 on OpenAlexaboutno aff
B. Roberts

Bibliographic record

VenueJournal for Juridical Science · 2007
Typearticle
Language
FieldSocial Sciences
TopicLegal Issues in South Africa
Canadian institutionsnot available
Fundersnot available
KeywordsLegislationAppealFreedom of informationPromotion (chess)Interpretation (philosophy)Statutory law

Abstract

fetched live from OpenAlex

The Promotion of Access to Information Act 2 of 2000 (PAIA), like all other legislation governing the right of access to information, provides for a number of legitimate grounds for the refusal of information. This article explores these grounds but only as far as they are applicable to public institutions. Part one of the article starts out by explaining the structure of the grounds for refusal and the principles which are crucial to the correct interpretation of the grounds. It then goes on to analyse the first six grounds as contained in the PAIA (grounds seven to thirteen are covered in part II). In order to provide a constructive analysis of the specific grounds, corresponding provisions of the American Freedom of Information A c t, the Canadian Access to Information A c t, the New Zealand Official Information Act and the Australian Freedom of Information Act are drawn upon. The wording of the statutory exemptions contained in the legislation of the above-mentioned countries, along with the interpretation given by appeal and review mechanisms, were taken into consideration not only to make proposals regarding the South African situation, but also to enhance understanding of the grounds for refusal as contained in the PAIA.

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)0.022
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.898
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0220.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.004
Science and technology studies0.0150.005
Scholarly communication0.0050.006
Open science0.0050.001
Research integrity0.0010.003
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 head0.037
GPT teacher head0.377
Teacher spread0.340 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2007
Admission routes1
Has abstractyes

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