Breaking the Constitutional Deadlock: Lessons from Deliberative Experiments in Constitutional Change
Bibliographic record
Abstract
This work provides comparative insights into how deliberation on proposed constitutional amendments might be more effectively pursued. It reports on a new nationwide survey of public attitudes to constitutional reform, examining the potential in Australia of innovative Canadian models of reform led by Citizens' Assemblies. Assembly members are selected at random and are demographically representative of the wider public. They deliberate over reforms for several months while receiving instruction from experts in relevant fields. Members thus become 'public-experts': citizens who stand in for the wider public but are versed in constitutional fundamentals. The author finds striking empirical evidence that, if applied in the Australian context, public trust would be substantially greater for Citizens' Assemblies compared with traditional processes of change. The article sets these results in context, reading the Assemblies against theories of deliberative democracy and public trust. One reason for greater public trust in the Assemblies' may be an ability to accommodate key values that are otherwise in conflict: majoritarian democratic legitimacy, on the one hand, and fair and well-informed (or 'deliberatively rational') decision-making, on the other. Previously, almost no other poll had asked exactly how much Australians trust in constitutional change. However, by resolving trust into a set of discrete public values, the polling and analysis in this work provide evidence that constitutional reform might only succeed when it expresses, at once, the values of both majoritarian and deliberative democracy.
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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 | 0.063 | 0.174 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.025 |
| Scholarly communication | 0.006 | 0.015 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.011 | 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".