Deliberative Mini-Publics in Democratic Systems
Bibliographic record
Abstract
Introduction The increasing popularity of DMPs raises expectations as to what these forums can achieve. A Financial Times editorial declared that ‘deliberative democracy is just what politics needs’, referring to the power of citizens’ assemblies to address political polarization ( The Financial Times , 2019). A year later, an editorial in The Guardian echoed the same sentiment, calling for ‘deliberation, not confusion’ as it spotlighted the UK's first climate assembly ( The Guardian , 2020). Calls for various forms of democratic innovations emerged in the early days of the pandemic as societies imagined what it would take to make the ‘new normal’ work for all. The increasing calls for DMPs are testament to the normative force as well as empirical track record of these forums. However, we are cautious not to pitch DMPs as a panacea that can revive democracy in challenging times. In this chapter, we take the position that DMPs are best appreciated as forums in democratic systems. This means two things. First, DMPs are not an end to themselves, but one of many potential practices that fulfil particular democratic functions, like elections, representation and exit, among others (Warren, 2017). We find that DMPs are helpful in facilitating collective will formation due to these forums’ design features but less so for collectively binding decision-making due to the lack of accountability of DMPs to those affected by their recommendations. Second, appreciating DMPs as forums within democratic systems means linking democratic deliberation with other practices of participatory decision-making. In this chapter, we take a close look at two empirical examples – the Irish Citizens’ Assembly and Ostbelgien modell – to demonstrate how DMPs can be meaningfully linked to institutions of representative democracy. While this book focuses on core design features, we find it necessary to present an extended discussion on the wider purpose of DMPs to clarify these forums’ relationship with existing institutions of representative democracy. Viewed this way, we offer a measured appreciation of the transformative power of DMPs. We recognize that DMPs are not always the best option in solving democracy's problems, and the challenge lies in determining the precise ways in which DMPs can contribute to democratic reform. DMPs and democracy's functions We begin our discussion by taking a step back and thinking about the problems that a political system needs to solve to count as democratic.
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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 | 0.013 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.026 |
| Scholarly communication | 0.014 | 0.015 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.032 | 0.004 |
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".