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Record W3194788953 · doi:10.1177/10780874211038321

The Ideological Structure of Municipal Non-Ideology

2021· article· en· W3194788953 on OpenAlexafffundabout
Jack Lucas

Bibliographic record

VenueUrban Affairs Review · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicElectoral Systems and Political Participation
Canadian institutionsUniversity of Calgary
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsIdeologyVisionPoliticsEliteRepresentation (politics)SociologyPublic administrationPolitical scienceLawPolitical economy

Abstract

fetched live from OpenAlex

This paper explores the structure of elite disagreement about the ideological or nonideological character of municipal politics. I propose two possible relationships between a representative's own ideology and their beliefs about the character of municipal politics: an "ends-against-the-middle" pattern, in which ideologues on the left and right embrace an ideological vision of municipal politics, whereas moderates insist that municipal politics is not ideological; and an "asymmetric visions" pattern, in which individuals on the left endorse an ideological view of municipal politics and those on the right oppose it. I use new survey data from more than 800 mayors and councillors in Canada to assess these possible relationships. While both are supported by the data, the asymmetric visions pattern is the stronger of the two: the nonideological view of municipal politics is most firmly embraced by municipal politicians of the moderate right, while the ideological vision is most common among representatives on the left. This pattern, I argue, is in keeping with a century of municipal political history and should be incorporated into our theories of municipal elections, representation, and policy disagreement.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.931
Threshold uncertainty score0.840

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.036
GPT teacher head0.349
Teacher spread0.313 · 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

Citations9
Published2021
Admission routes3
Has abstractyes

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