The democratic challenges and potential of localism: insights from deliberative democracy
Bibliographic record
Abstract
This article considers the democratic challenges and potential of localism by drawing on insights from the theory and practice of deliberative democracy. On a conceptual level, the ideas embedded in localism and deliberative democracy share much in common, particularly the democratic goal of engaging citizens in decisions that affect them. Despite such commonalities, however, there has been limited conversation between relevant literatures. The article considers four democratic challenges facing localism and offers a response from a systems perspective of deliberative democracy. It argues that, for localism to realise its democratic potential, new participatory spaces are required and the design of these spaces matters. Beyond structured participatory forums, local democracy also needs an active and vibrant public sphere that promotes multiple forms of democratic expression. This requires taking seriously the democratic contributions of local associations and social movements. Finally, the article argues that, to fulfil its democratic potential, localism needs to encourage greater democratic and political connectivity between participatory forums and the broader public sphere.
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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 | 0.011 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.050 |
| Scholarly communication | 0.012 | 0.015 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".