Evaluation of a Cape Town Safety Intervention as a Model for Good Practice: A Partnership between Researchers, Community and Implementing Agency
Bibliographic record
Abstract
VPUU has a wealth of experience to share and is engaged with broader national and international policymakers and implementing agencies. Researchers are grappling with the difficulty of providing a rigorous project evaluation for these collaborations which could identify project elements that work with a view to their replication. This paper traces the evolution of an evidence-based approach to violence prevention in the Western Cape Province of South Africa. The Violence Prevention through Urban Upgrading (VPUU) project in Cape Town uses such an approach, and relies on a ‘whole-of-society’ methodology as well. The project and the difficulty of its evaluation are discussed. A partnership between VPUU, researchers, the community and local government has revealed both opportunities and obstacles, which are the subjects of a case study described here.
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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 | 0.240 | 0.214 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.014 | 0.014 |
| Scholarly communication | 0.013 | 0.007 |
| Open science | 0.006 | 0.017 |
| Research integrity | 0.004 | 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".