MétaCan
Menu
Back to cohort
Record W2886412645 · doi:10.1111/jssr.12541

Countermovement Mobilization and State Raids on Minority Religious Communities

2018· article· en· W2886412645 on OpenAlexaff
Stuart A. Wright, Susan J. Palmer

Bibliographic record

VenueJournal for the Scientific Study of Religion · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Society, and Development
Canadian institutionsMcGill University
Fundersnot available
KeywordsCountermovementState (computer science)PoliticsIdeologyCollective actionPolitical economyPolitical scienceMobilizationSocial movementSociologyCriminologyDevelopment economicsLawEconomics

Abstract

fetched live from OpenAlex

Abstract An ongoing study of government raids on minority religious communities in 19 Western‐style democracies over seven‐plus decades shows a dramatic increase in raids beginning in the 1990s. Two distinct and related patterns are found to explain this escalation in frequency. Both patterns involved countermovement mobilization by coalitions of oppositional groups that effectively framed new or nontraditional religious movements (NRMs) as threats to their own members and the larger society, thereby prompting state actions of social control. The patterns are distinguished by a new relationship of countermovement actors to the state. In one pattern, we found the development of a transnational network forging a common collective action frame, movement ideology, and organizational strategy. Seizing political opportunities in the wake of increasing concerns regarding child endangerment, countermovement actors targeted NRMs as harbingers of child abuse and pressed authorities to take action. In the second pattern, we found a concentration of raids in one country (France). Here, the oppositional networks were not simply third‐party interest groups but were fully integrated into the state apparatus, hence awarded power and given extraordinary influence. Consequently, state raids increased exponentially. The study also provides five years of new data from a previous report examining their impact on the larger set of findings and identifying new trends.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.121
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.001
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 head0.038
GPT teacher head0.338
Teacher spread0.300 · 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

Citations12
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueJournal for the Scientific Study of ReligionSame topicReligion, Society, and DevelopmentFrench-language works237,207