“What Would the Public Think if It Had a Chance to Think?” (Deliberative Forums as a Cure for Democratic Deficit)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The theory of deliberative democracy is well known and has been studied thoroughly so far; however, the practical side of the functioning of different types of deliberative forums is discussed not so frequently, especially in Russian-language literature. Meanwhile, over the past decades, various countries around the world have accumulated a great deal of experience in the work of consultative mini-publics: one can recall the National Forum in Iceland, convened to discuss the draft of a new Constitution, regular National Public Policy Conferences in Brazil, the Citizens’ Convention on Climate in France, the Citizens’ Assembly on Electoral Reform in Canada, and much more. The article presents an analysis of this experience. Having focused on two most common types of deliberative institutions — citizens’ assemblies and deliberative polls, — the author attempts to find an answer to the question: can deliberative democracy help to solve key problems of representative political system, such as depoliticization of society, decline of trust in political institutions, etc? Drawing on the results of the conducted research, the author comes to the conclusion that deliberative practices can really contribute to the revival of liberal democracy and repoliticization of society by supplementing customary institutions of political participation with new forms of citizens’ involvement in politics, and many experiments of that kind look truly promising. At the same time, according to the author, deliberative democracy does not have sufficient transformational capabilities to drastically change the political status quo.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 it