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Record W4417121251 · doi:10.1558/imre.31427

God’s Army of Securitization

2025· article· W4417121251 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueImplicit Religion · 2025
Typearticle
Language
FieldSocial Sciences
TopicCrime, Deviance, and Social Control
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsSecuritizationImmigrationWhite (mutation)RacismIslamMoral economy

Abstract

fetched live from OpenAlex

Conspiracy theories and religion intersect within the profane world of politics, society, and social communities. The role of religion in the instigation and perpetuation of moral panics is well known, but what occurs when conspiracy, moral panics, religion, and the securitization of perceived national threat interact? In this paper, social media posts, podcasts, and online interviews with the leaders of an organized protest, Take Back Our Border, are analyzed for content of each of these topics. The Take Back Our Border convoy named themselves God’s Army and are fighting to save the United States from unauthorized immigrants. These immigrants are perceived to be crossing into the nation to destroy its culture and Christian faith, and to stop the elites behind the Great Replacement conspiracy: the enslavement of white Christians.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.737
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.010
GPT teacher head0.325
Teacher spread0.315 · 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