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Record W7100875351

©ARC Page 27 Charismatic Pentecostal Churches in Kenya: Growth, Culture

2015· article· en· W7100875351 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldArts and Humanities
TopicPentecostalism and Christianity Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCharismaMainstreamGlobeInterpretation (philosophy)Charismatic authorityChristian ministryChristianity
DOInot available

Abstract

fetched live from OpenAlex

Abstract: Charismatic Pentecostal churches in Kenya started in the cities and have now extended to the rural areas. The highest percentage of members in the charismatic Pentecostal churches in Kenya as this study established were formerly members of the mainstream churches. This implies, the charismatic churches offer what seems to lack in the mainstream churches. Worldwide, charismatic movements such as the Welsh Revival, Azusa Street Revival, Latter Rain Movement, the Third Wave and the Toronto Blessings began in the early 21 st century with a motif to reach the entire globe with the Gospel. Speaking in tongues, singing praises to God, dancing for the Lord and healing among others became the identifying features for the movements. In East Africa, the movement arrived in 1960s and 70s through the ministry of evangelists such as Bill Graham and T.L. Osborne. In Kenya, Joe Kayo, David Kimani, Bethel Mission and Margret Wangari became the first proponents of the movement. This paper examines the growth, culture and orality of the charismatic Pentecostal churches in Kenya. Specifically the paper analyzes the start and development of charismatic Pentecostalism worldwide, distinctive features of the charismatic Pentecostal churches in Kenya and the interpretation of the theology of the gifts of the Holy Spirit. Further, the paper

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.991
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.000

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 head0.059
GPT teacher head0.240
Teacher spread0.181 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2015
Admission routes1
Has abstractyes

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