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Record W4249340510 · doi:10.32920/14646609.v1

Does Neighbourhood Design Impact Social Interactions Amongst Neighbours? Studying the Influence of Neighbourhood Built-form & Type on Socialization Among Neighbours in Canadian Cities

2021· preprint· en· W4249340510 on OpenAlexaboutno aff
Wafaa Muzaffar

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicUrban Design and Spatial Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsNeighbourhood (mathematics)UrbanismSocializationPopularityEconomic geographySociologyGeographyDemographic economicsSocial psychologyPsychologyEconomicsArchitecture

Abstract

fetched live from OpenAlex

Urban planning has devoted significant effort to exploring the linkages between neighbourhood design and social interactions. With the increasing popularity of New Urbanism, the role New Urbanist design features play in promoting neighbourly socialization and strengthening communal bonds have become widely debated. This thesis contributes to the existing literature by researching how socialization differs between New Urbanist and traditional suburban neighbourhoods and whether the socialization difference, if any, results from differences in neighbourhood structure and design. This thesis uses a data set comprised of eight neighbourhoods - four of which are New Urbanist neighbourhoods and the other four are traditional suburban neighbourhoods. Using ordered probit regression modelling, the extent of socialization that stems from households’ demographic characteristics and the housing-level and neighbourhood-level physical design features is determined. The results indicate that socialization is more likely to be influenced by the amalgamated effect of neighbourhood type, rather than design features alone.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.737
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.028
GPT teacher head0.268
Teacher spread0.240 · 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.

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

Citations0
Published2021
Admission routes1
Has abstractyes

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