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Record W4377232588 · doi:10.1080/01944363.2023.2207619

Complete Community

2023· article· en· W4377232588 on OpenAlexaffabout
Jill L. Grant

Bibliographic record

VenueJournal of the American Planning Association · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Planning and Governance
Canadian institutionsDalhousie University
Fundersnot available
KeywordsPlannerSmart growthSociologyUrban planningCompact cityRhetorical questionSustainable developmentPublic relationsPolitical scienceComputer scienceEngineeringCivil engineeringLaw

Abstract

fetched live from OpenAlex

Problem, research strategy, and findings Despite the ubiquity of the concept of the complete community or neighborhood in Canadian planning practice and the recent spread of the idea in the United States, few scholars have examined the idea’s development and implications. Based on a content and thematic analysis of 102 plans and policies representing all Canadian provinces and territories, along with 205 planner interviews, I argue that the complete community represents an integrative, scalable, and flexible planning theory originating from practice. Borrowing principles from other theories (such as smart growth and sustainable development), practitioners built the complete community idea bottom-up, as a persuasive rhetorical vehicle for describing planning intentions and justifying higher densities in positive ways.Takeaway for practice Contemporary planning values increasing urban densities, mix, and walkability. Here I illustrate how planners adapted to community resistance to ideas generated by external experts—and to efforts to increase growth and densities—by articulating a socially and politically positive option for urban transformation. The complete community concept places a halo over density, promising vibrancy and livability.

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)0.003
metaresearch head score (Gemma)0.003
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 score0.152
Threshold uncertainty score0.635

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.052
GPT teacher head0.338
Teacher spread0.286 · 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 designObservational
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

Citations15
Published2023
Admission routes2
Has abstractyes

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