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Record W2461597722 · doi:10.1163/15700747-03801005

Charismatic Christianity and the Role of Social Networks

2016· article· en· W2461597722 on OpenAlexaff
Michael Wilkinson

Bibliographic record

VenuePneuma · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicReligion and Society Interactions
Canadian institutionsTrinity Western University
Fundersnot available
KeywordsCharismaProsperityCharismatic authorityAllianceSocial network (sociolinguistics)Social capitalSociologyChristianityGospelReligious studiesPolitical scienceTheologySocial sciencePhilosophyLaw

Abstract

fetched live from OpenAlex

This article offers a sociological examination of the role of networks among charismatic Christians, with specific attention to Catch the Fire and the Revival Alliance. Drawing upon social network theory, it shows how religious networks in global society are relational, asymmetrical, and infused with apostolic authority. A case study of Catch the Fire reveals that the network is primarily collaborative in its structure. However, there are some relationships in the network that are more important than others, as evidenced by the dense social ties among members. Furthermore, the network is structured according to gender with the benefits of social capital favoring men. The network also overlaps with other networks through key relationships, especially the New Apostolic Reformation and other charismatic ministries associated with the prosperity gospel.

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)0.003
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0050.011
Scholarly communication0.0050.004
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.007
GPT teacher head0.268
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 source (direct Gemma or distilled Codex), 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

Citations5
Published2016
Admission routes1
Has abstractyes

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