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Record W2341688048 · doi:10.1111/juaf.12294

Moving beyond the urban/rural cleavage: Measuring values and policy preferences across residential zones in Canada

2016· article· en· W2341688048 on OpenAlex
David McGrane, Loleen Berdahl, Scott Bell

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Urban Affairs · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicElectoral Systems and Political Participation
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsIdeologyPoliticsUrbanityPolarization (electrochemistry)GeocodingUrban politicsSociologyPolitical scienceEconomic growthGeographyEconomicsEconomyLaw

Abstract

fetched live from OpenAlex

Despite urban forms becoming more varied, analysts continue to use a dichotomous urban/rural distinction when examining political attitudes. Using geocoding, our analysis of original survey data adopts a four-residential-zone approach to exploring Canadian political values and policy preferences: inner city, suburban, small urban, and rural. We find that an ideological polarization between inner city residents on the left and the rest of Canadians on the right emerges and is most pronounced when it comes to values related to new ideology and policy preferences concerning taxation, moral policies, and spending on social assistance. Within large urban centers specifically, suburbanites are more socially conservative than are inner city residents, while divisions between the two groups are smaller with respect to economic issues and the welfare state. We suggest that researchers should replace the binary category of urban/rural for political analyses with a residential zone approach in order to better capture the complexity of contemporary urbanity.

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)0.001
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 score0.091
Threshold uncertainty score0.234

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.029
GPT teacher head0.304
Teacher spread0.275 · 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