Violence and Democracy in Khayelitsha, Governing Crime through the ‘Community’
Bibliographic record
Abstract
Waving placards that read “Sonele zizikoli, sanele yicrime (we have had enough of crime and thugs),” more than 60 angry residents protested outside the Khayelitsha Police Station on Tuesday. [ . . . ] Residents’ leader Unathi Mabengwana said: “Given the high crime rate in our area, we are of the view that whatever cops do to fight crime here is not enough. We demand that cops should be more harsh when dealing with criminals.” Greg Wagner, spokesman for community safety department said [Member of the Executive Council] Dan Plato will meet with the Western Cape police commissioner, General Arno Lamoer, to discuss the issue next week. Wagner said the meeting would also be a follow up on the recent vigilante attacks, in which three alleged crime suspects were burnt to death at Enkanini squatter camp (Mnyakama 2012).
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.021 | 0.016 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".