Bibliographic record
Abstract
Much communicative planning is consensus oriented and rests on ideas of deliberative democracy. Planning recommendations made by dialogue are based on the intellectual force of arguments giving reasoned rankings of the planning alternatives. Dialogue encompasses the amalgamation of arguments in accordance with democratic criteria ensuring the communicative rationality of the process and the legitimacy of the recommendation. The balancing and weighing of arguments should avoid decision cycles that would make the recommendation of a plan arbitrary. By an analogy with Arrow’s theorem on the general impossibility of consistent and fair social choice, it is demonstrated that dialogue cannot ensure consistent recommendations and simultaneously prepare for political decision making in a democratic manner. The result is valid for debates over planning alternatives when differences in quality are not comparable across all the important arguments (concerning noise, safety, visual standard, social impact, etc.), which is the most common situation.
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.
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 | 0.023 | 0.029 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.004 | 0.042 |
| Scholarly communication | 0.014 | 0.012 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.014 | 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".