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Record W2580308088 · doi:10.29173/cjs25450

Mainline Denominational Switching in Canada: Comparing the Religious Trajectories of Growing and Declining Church Attendees

2016· article· en· W2580308088 on OpenAlexaffvenueabout
David Millard Haskell, Stephanie Burgoyne, Kevin N. Flatt

Bibliographic record

VenueThe Canadian Journal of Sociology · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicReligion and Society Interactions
Canadian institutionsRedeemer UniversityWilfrid Laurier University
Fundersnot available
KeywordsProtestantismSociologyReligious studiesPolitical scienceLawPhilosophy

Abstract

fetched live from OpenAlex

Based on the survey responses of over 1000 attendees of growing and 1000 attendees of declining Mainline Protestant churches in Canada, this research examines patterns of denominational switching and the characteristics of switchers from both groups. Based on previous Canadian research we hypothesized, among other predictions, that the majority of our Mainline Protestant congregants would never have switched denominations and, of those who had, a plurality would indicate that their previous church was part of another Mainline Protestant denomination. These hypotheses were supported when the responses of growing and declining church attendees were combined but when the responses of the growing church congregants were tabulated separately they were not supported. We show how the switching patterns of the growing Mainline Protestant church congregants are more akin to those of Canadian Conservative Protestant church congregants and we offer explanations as to why this may be the case. Keywords: Religious Switching; Reaffiliation; Church Growth; Mainline Protestant; Conservative Protestant; Canada

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)0.001
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 score0.052
Threshold uncertainty score0.880

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 studies0.0010.001
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 head0.030
GPT teacher head0.292
Teacher spread0.261 · 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

Citations12
Published2016
Admission routes3
Has abstractyes

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