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Record W2892686722

An analysis of assisted dying and the practical implementation thereof in South African criminal law

2017· dissertation· en· W2892686722 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueUpSpace Institutional Repository (University of Pretoria) · 2017
Typedissertation
Languageen
FieldSocial Sciences
TopicLegal Issues in South Africa
Canadian institutionsnot available
Fundersnot available
KeywordsLawPolitical scienceCriminal lawCriminologySociology
DOInot available

Abstract

fetched live from OpenAlex

This dissertation will examine the legality of assisted dying procedures performed in the Republic of South Africa. This is due to the rising awareness about terminal patients’ dignity and autonomy at the end of their life. The physician’s liability, who assists such a patient to end their life, will be examined and whether there is any legal recourse available will be explored. Comparisons will also be made between other legal systems, including Canada, the Netherlands, Oregon of the United States of America and England and Wales. These jurisdictions have been chosen to provide a wide variety of perspectives and possible alternatives that South Africa should take into consideration should parliament or the courts decide to argue the matter. Other sources are also considered, such as the influence of the history and development of the common law crime of murder, as well as the role the Health Professions Council of South Africa will play. Possibly most importantly, the material criminal law of South Africa is thoroughly studied with all forms of assisted dying in mind. This is to establish what kind of liability, criminal or otherwise, a physician might incur should they decide to assist a patient in these circumstances. Lastly, recommendations are made based on the research done throughout this dissertation, which would ideally assist in any future arguments made on the topic.

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.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.391
Threshold uncertainty score1.000

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 studies0.0010.002
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.033
GPT teacher head0.349
Teacher spread0.316 · 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