A community development approach to deal with public drug use in Box Hill
Bibliographic record
Abstract
The use of alcohol and other drugs in public space is one that generates much heat in the public discourse and in the media. Too often the responses called for to reduce the problems of public amenity involve punitive policing and other responses that aim to engineer (mostly) young people out of these public spaces. Often local retailers are a key stakeholder group calling loudest for punitive action. In this Harm Reduction Digest Rogers and Anderson describe a community development approach taken to address these problems in Box Hill in the City of Whitehorse, near Melbourne. This approach which aimed to develop 'bridging social capital' between community retailers and other stakeholders in the area appears to have been effective in reducing harm associated with public drug use. Moreover these changes have become institutionalised and the approach has been expanded to address other public amenity problems in the area. It is a very nice example of how drug related harm can be reduced by grass roots networks of local councils, business people, law enforcement and health and welfare service providers to address these issues.
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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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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".