What the Doctor Ordered: Lessons From Abroad to Strengthen South Africa’s Medical-Parole System
Bibliographic record
Abstract
Certain outcomes of South Africa’s medical-parole system in recent years have raised questions about the adequacy of the legislation governing the system, particularly in respect of eligibility criteria and cancellation of parole should the offender recover. Cases in point include the to-ing and fro-ing on compliance with criteria in the Derby-Lewis matter, Jacob Zuma’s near-immediate release on medical parole, and the granting of medical parole on grounds of terminal illness to Zuma’s former advisor Shabir Shaik, who served barely two and-a-half years of his fifteen-year sentence and has since been spotted out and about. To ascertain how the medical-parole regime in South Africa compares with other jurisdictions, this article juxtaposes it with the systems in Canada and the American states of Mississippi, New York and California. The comparison takes into account the type of parole available, illnesses that would typically qualify a prisoner for medical parole, the minimum period of imprisonment to be served, types of conviction excluded from medical parole, as well as the option to cancel medical parole. A comparative strength of the South African system appears to be the delineation of a clear, transparent application process, which not unimportantly includes the provision of a comprehensive, well-defined list of eligible illnesses and conditions. South Africa should also be commended for not relying on the type of conviction as a deciding factor in granting medical parole, thereby adhering to the nation’s founding value of human dignity enshrined in the Constitution. Yet there is also ample room for improvement. Requiring prisoners to serve a minimum period of imprisonment before they can apply for medical parole could help prevent abuse of the system as a quick escape route. In addition, arguably the most important step South Africa could take to strengthen the system would be to provide for the cancellation of medical parole where the parolee recovers.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.015 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.010 |
| Scholarly communication | 0.007 | 0.009 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.005 | 0.014 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".