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Record W4214635565 · doi:10.5509/20229515

Beyond Mall Christianity: Megachurches Navigating Southeast Asian Urbanism

2022· article· en· W4214635565 on OpenAlexvenueno aff
Terence Tai‐Leung Chong, Daniel P. S. Goh

Bibliographic record

VenuePacific Affairs · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicSocioeconomic Development in Asia
Canadian institutionsnot available
Fundersnot available
KeywordsWorshipCapitalismConsumerismEthosUrbanismSoutheast asiaChristianityGeographyReinterpretationPolitical scienceSociologyEconomyGender studiesEthnologyLawArchaeologyAestheticsArchitectureArt

Abstract

fetched live from OpenAlex

The global spread of Pentecostalism has been facilitated by a combination of transnational impulses and indigenizing interests. In the case of independent Pentecostal megachurches, their growth in urban centres is reflected in both Western and Asian societies. Megachurches in America and Southeast Asia have flourished because of their unique blend of middle- class congregants, appeal to consumerist and popular culture, as well as their compatibility with the urban lifestyle patterns of their congregants. However, it would be a mistake to assume that the drivers of growth and the conditions behind the common features of these megachurches are the same. Examining Jakarta, Surabaya, Kuala Lumpur, and Manila, we show that megachurches are not located in shopping malls and commercial complexes merely for growth purposes or to align with the consumerism ethos of capitalism. Deeply local concerns, such as hostile neighbourhoods dominated by Muslim or Catholic majorities, have led to the camouflaging of Christian symbols in urban settings. The purposeful targeting of youth also reveals the Southeast Asian megachurch engaging with the new urban mobilities triggered by rapid economic development. We conclude that the Southeast Asian city's structure and layout are being repurposed by Christian innovation and reinterpretation. Christianity in the Southeast Asian city is hidden in plain sight.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.981
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.017
GPT teacher head0.259
Teacher spread0.243 · 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 designQualitative
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

Citations3
Published2022
Admission routes1
Has abstractyes

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