Race, class and violent crime in South Africa: Dispelling the ‘Huntley thesis’
Bibliographic record
Abstract
Brandon Huntley was granted asylum in Canada earlier this year based on the argument that whites are disproportionately affected by crime in South Africa. The decision was generally condemned, but it did receive support from various groups and individuals including Afriforum, the Freedom Front and James Myburgh (editor of Politicsweb). In this article we show the flaws in Huntley's argument by presenting evidence from several sources that demonstrate that black and poor people are disproportionately the victims of violent crime in South Africa. We are concerned that painting whites as the primary victims of South Africa's social ills is unproductive, ungenerous and potentially hampers the appropriate distribution of resources to alleviate crime. Furthermore, in order to move the debate on crime in South Africa into a more productive direction, we also describe the Social Justice Coalition (SJC) – a relatively new community based organisation that aims to mobilise communities around improving safety and security for all in South Africa, regardless of race or income. Campaigning for novel pragmatic and coordinated community and government responses to the broader lack of safety and security in the country, the SJC focuses on the introduction and development of basic infrastructure and services as a means of reducing crime.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".