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Record W2898559600 · doi:10.1111/capa.12293

The Grandview‐Woodland Citizens’ Assembly: An experiment in municipal planning

2018· article· en· W2898559600 on OpenAlexaboutno aff
Edana Beauvais

Bibliographic record

VenueCanadian Public Administration · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Planning and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsDeliberationOpposition (politics)WoodlandGovernment (linguistics)Public participationPublic administrationScope (computer science)Plan (archaeology)Political scienceNeighbourhood (mathematics)Environmental planningFaithPublic relationsGeographyLawPoliticsComputer science

Abstract

fetched live from OpenAlex

Abstract After public opposition shut down the City of Vancouver’s first planning proposal for the Grandview‐Woodland neighbourhood, the City engaged residents in drafting a new plan in a novel way: Canada’s first “citizens’ assembly” for urban planning. The Grandview‐Woodland Citizens’ Assembly (GWCA) was novel because it relied largely on a single consultation instrument—the assembly—to draft policy proposals on a diverse range of planning issues. This begs the questions: can a single consultative instrument such as a citizens’ assembly provide a useful forum for high‐quality deliberation about a wide scope of policy issues? Was the citizens’ assembly more cost effective than typical, megaconsultation processes? Did the GWCA re‐instill faith in the planning process and municipal government? This study answers these questions by triangulating data from a novel, natural survey experiment, government reports, the author’s observations from participating in the process, and conversations with elites involved with the process.

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 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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.896
Threshold uncertainty score0.958

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 studies0.0010.000
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 head0.060
GPT teacher head0.347
Teacher spread0.288 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations13
Published2018
Admission routes1
Has abstractyes

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