Crime and Crime Prevention in South Africa: 10 Years After
Bibliographic record
Abstract
South Africa's transition since 1994 has required an extensive overhaul of its institutions and laws. The last 10 years have been characterized by a flurry of new policies and legislation in the criminal justice sector. After 1994, one of the government's priorities was the National Crime Prevention Strategy (NCPS). The NCPS recognized the social and developmental causes of crime, as well as the need to involve a range of government departments and civil society partnerships. The strategy has, however, lost momentum as a result of public and political pressure to deliver decisive, short-term solutions. Since 1999, the government's focus has been on tough law enforcement interventions and on passing new laws aimed at improving criminal justice functioning. This article argues that South Africa's criminal justice system has performed well considering the challenges it has faced since 1994. The task now is to deal with increasingly negative public perceptions of safety and renew efforts to prevent crime by tackling the social and developmental factors that are beyond the scope of the police and courts.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
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".