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Record W7096237336

Secularization Within the Church of the Nazarene

2015· article· en· W7096237336 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicArtificial Intelligence Applications
Canadian institutionsnot available
Fundersnot available
KeywordsWorshipSecularizationPessimismWorryChristianityService (business)Prayer
DOInot available

Abstract

fetched live from OpenAlex

results indicate that a majority of Nazarene lay members (53%) and pastors (61%) agree with the statement, “The Church of the Nazarene in the U.S. and Canada is becoming more secular. ” Similar proportions of lay members (53%) and pastors (60%) agree with the statement, “Most Nazarenes I know are becoming more secular.” Nazarene leaders worry that the church is no longer the vital spiritual force that it was a few decades ago. We allow culturally conditioned adaptations of the Special Rules. We revised the rule on movies. It was difficult to find an evening worship service on Super Bowl Sunday, at least in some areas of Colorado in 1999. But, perhaps most telling is the fact that the denomination now tolerates both a seminary and an association of sociologists. There is a general pessimistic mood among us. In fact, both Nazarenes and Americans seem to believe most things are getting worse. At the close of this century the idea of continual deterioration is much easier to accept than the idea of continual progress. We live in a culture that likes to describes itself in terms of aftermath: post-Vietnam, post–Watergate, post– industrial, post–literate, post–denominational, post–intellectual, post–Christian, and post– modern. While we recognize the importance of hope, we are inclined to despair. We still talk

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.058
GPT teacher head0.287
Teacher spread0.229 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2015
Admission routes1
Has abstractyes

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