Policing the G20 Protests: 'Too Much Order with Too Little Law' Revisited
Bibliographic record
Abstract
In the months leading up to November’s G20 summit in 2014, Brisbane’s residents would have been forgiven for anticipating the outbreak of a local civil war. Media outlets were leading with headlines stating, among other sensational claims, that ‘G20 anarchists vow chaos and mayhem for Brisbane’s streets’, ‘Black Bloc tactics aim for Brisbane G20 shock and awe’ and ‘Destructive protest plan for G20’. Meanwhile, some of the most severe restrictions on civil liberties seen in Australia in recent years were legislated by the Queensland parliament. The G20 Safety and Security Act 2013 (Qld) (the G20 Act) was passed with little demur by a chamber that was only divided over the question of whether the laws were severe enough, with Queensland opposition police spokesman Bill Byrne MP declaring himself ‘surprised’ at the leniency of some of the sentencing provisions and the ‘minimalist’ approach to restricted areas. Of course, in the event the much-anticipated violence did not occur, and the media’s pre-summit hyperbole was exposed as just that. Rather more prosaically — and accurately — the post-event headlines dutifully reported ‘Passionate, but mostly peaceful protests’ and ‘G20 protest day wraps up peacefully’. Given that previous G20 summits in London and Toronto saw outbreaks of considerable disorder, we might succumb to the temptation of declaring the peaceful protests in Brisbane to be a vindication of the heavy powers granted by the Queensland parliament. But we believe that to do so would be egregious. Here we reflect on the historical and political motivations underpinning the G20 Act, and draw attention to the rather more measured policing strategy employed by the Queensland Police Service (QPS). We argue that the safety and security of G20 participants and protesters owed little to the restrictive powers granted by the G20 Act, but resulted from a policing strategy that successfully married traditional and modern precepts of policing large events.
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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 | 0.004 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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".