What can deliberative mini‐publics contribute to democratic systems?
Bibliographic record
Abstract
Abstract Can deliberative mini‐publics contribute to deepening the democratic dimensions of electoral democracies? The question is framed in this article using a problem‐based approach to democratic theory–to count as democratic, political systems must accomplish three basic functions related to inclusion, communication and deliberation, and decision making. This approach is elaborated with an analysis of a real‐world case: a deliberative mini‐public with a citizens’ assembly design, focused on urban planning convened in Vancouver, Canada. This example was chosen because the context was one in which the city's legacy institutions of representative democracy had significant democratic deficits in all three areas, and the mini‐public was a direct response to these deficits. It was found that Vancouver's deliberative mini‐public helped policy makers, activists and affected residents move a stalemated planning process forward, and did do so in ways that improved the democratic performance of the political system. Depending on when and how they are sequenced into democratic processes, deliberative mini‐publics can supplement existing legacy institutions and practices to deepen their democratic performance.
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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 | 0.031 | 0.050 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.009 | 0.028 |
| Scholarly communication | 0.017 | 0.017 |
| Open science | 0.002 | 0.017 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.020 | 0.003 |
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".