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Record W4200354907 · doi:10.1111/jssr.12758

Religion‐State Interaction at the Local Level: Key Findings from a Survey of Religion and Local Elected Officials

2021· article· en· W4200354907 on OpenAlexaboutno aff
Gary J. Adler, Damon Mayrl, Jonathan S. Coley, Rebecca Sager, Eric Plutzer

Bibliographic record

VenueJournal for the Scientific Study of Religion · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicReligion and Society Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsOpposition (politics)State (computer science)PoliticsDemocracySociologyPublic administrationQuarter (Canadian coin)Context (archaeology)ReligiosityPolitical scienceCorporate governanceLawGeography

Abstract

fetched live from OpenAlex

Abstract Relationships between religion and state are a core focus for social scientists, but little is known about a central set of actors in “church‐state” relations in the United States: local elected officials (mayors, town councilpersons, city commissioners). We report on a unique, representative survey of local elected officials, examining their religiosity, their interactions with religion through governance (prayers, meetings, symbol placement requests), and their preferences for religion‐state relations. Our results show that local elected officials are no more religious than the general adult public, that they interact with religion in their formal governance at low rates, and that a quarter strongly prefer increased state engagement with religion. Minority religious affiliation, Democratic political affiliation, and urban context predict opposition to religion‐state engagement. We describe how local elected officials may produce local regimes of religion‐state interaction that vary by geographic location and suggest pathways for future research.

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.298
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.001
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 head0.361
Teacher spread0.301 · 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 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

Citations5
Published2021
Admission routes1
Has abstractyes

Explore more

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