Investigating displacement effects as a result of the Sydney, NSW alcohol lockout legislation
Bibliographic record
Abstract
Aims: On 30 January 2014, in efforts to reduce alcohol-related violence, the New South Wales Parliament adopted alcohol lockout legislation targeting a geographically defined area: the Sydney entertainment precinct. This study used qualitative methods to explore with stakeholders of two areas (Kings Cross/Potts Point and Newtown) whether there was any evidence of displacement of alcohol-related problems from inside to outside the lockout zone.Methods: Four focus groups were conducted in mid-2015 with residents and patrons: two in Kings Cross/Potts Point (where the measures were implemented) and two in Newtown (an alternative entertainment precinct exempt from the measures). Each explored experiences pre and post lockouts and any perceived changes in the number of people in the area, level of disorderly conduct, patterns of drug and alcohol consumption, public amenity and public safety.Findings: Stakeholders in Kings Cross/Potts Point reported many improvements since the reforms: including reduced patron numbers, less waste and improved public amenity. However, stakeholders from Newtown reported the opposite: increased patron numbers, reduced public amenity and reduced public safety.Conclusions: This provides tentative evidence that even if the Sydney lockouts have reduced alcohol-related violence there may have been a partial displacement of alcohol-related problems to outside the lockout zone.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".