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Record W4313065913 · doi:10.47348/slr/2022/i3a4

Lessons From New South Wales, Queensland, and British Columbia to Assist South Africa in Adequately Regulating the Keeping of Assistance Animals by Disabled Persons in Sectional Title Schemes

2022· article· en· W4313065913 on OpenAlexaboutno aff
CG Van der Merwe

Bibliographic record

VenueStellenbosch Law Review · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsnot available
Fundersnot available
KeywordsLegislationJurisdictionService (business)Animal welfareMedicinePsychologyBusinessPolitical scienceLawMarketing

Abstract

fetched live from OpenAlex

South African legislation contains only one subrule in the Sectional Titles Schemes Management Regulations about the keeping of assistance animals in sectional title schemes. This subrule provides that an owner or occupier suffering from a disability who reasonably requires a guide, hearing, or assistance dog must be considered to have the trustees’ consent to keep that animal in a section and to accompany it on the common property. I submit that this subrule falls hopelessly short of regulating this matter adequately and that lessons in this regard can be learned from the comparable Australian jurisdictions of New South Wales and Queensland, and the Canadian jurisdiction of British Columbia. First, this subrule makes no reference to anti-discrimination legislation or legislation dealing with the keeping of dogs which is found in the comparable provisions in the selected jurisdictions. Second, no clear distinction is drawn between service dogs and assistance dogs. It appears that assistance dogs are equated with service dogs which are trained to cater for a specific disability in a disabled person while those suffering from illnesses like depression could also benefit from the mere presence of a dog without any specific training. Third, the rule applies only to assistance dogs while the United States, for example, also provides for miniature horses and Capuchin monkeys to assist persons with disabilities. Fourth, save for guide and hearing dogs, inadequate provision is made for the training of other types of assistance animals. In some cases, disabled persons are allowed to train their own assistance animals without the animal and the disabled person having to comply with strict competency tests, for example, the “public access test” required in Queensland. Finally, there is no agreement regarding what type of disability would qualify for assistance by an assistance animal or what evidence a disabled owner or occupier must provide as proof that he or she reasonably requires an assistance animal.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: none
Teacher disagreement score0.783
Threshold uncertainty score0.954

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.051
GPT teacher head0.308
Teacher spread0.257 · 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 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
Published2022
Admission routes1
Has abstractyes

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