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Record W2042538166 · doi:10.1177/0739456x0202100402

Deliberative Planning and Decision Making

2002· article· en· W2042538166 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Planning Education and Research · 2002
Typearticle
Languageen
FieldEnvironmental Science
TopicUrban Planning and Valuation
Canadian institutionsTransport Canada
Fundersnot available
KeywordsAnalogyLegitimacyDemocracyRationalityDeliberative democracyDeliberationArrowPlan (archaeology)ImpossibilityPoliticsSocial choice theoryManagement scienceLaw and economicsSociologyComputer sciencePolitical scienceEpistemologyEconomicsLawMicroeconomics

Abstract

fetched live from OpenAlex

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.467
Threshold uncertainty score0.315

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.156
GPT teacher head0.449
Teacher spread0.293 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it