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Record W2796890440 · doi:10.1163/15685276-12341492

Challenging the Curious Erasure of Religion from the Study of Religious Terrorism

2018· article· en· W2796890440 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

VenueNumen · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicTerrorism, Counterterrorism, and Political Violence
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsTerrorismNormativeScholarshipReligiositySubject (documents)Argument (complex analysis)History of religionsSociologyJihadismCriminologyLawEpistemologyPolitical scienceReligious studiesPoliticsPhilosophyIdeology

Abstract

fetched live from OpenAlex

Abstract The role that religion plays in the motivation of “religious terrorism” is the subject of much ongoing dispute, even in the case of jihadist groups. Some scholars, for differing reasons, deny that it has any role; others acknowledge the religious character of jihadism in particular, but subtly discount the role of religion, while favoring other explanations for this form of terrorism. Extending an argument begun elsewhere (Dawson 2014, 2017), this article delineates and criticizes the influence of a normative religious bias, on the one hand, and a normative secular bias, on the other hand, on scholarship addressing the relationship between religiosity and terrorism. I examine two illustrative studies to demonstrate the complexity of the conceptual issues at stake: Karen Armstrong’s best-selling book Fields of Blood: Religion and the History of Violence (2014) and a recent article by Bart Schuurman and John G. Horgan on the rationales for terrorist violence in homegrown jihadist groups (2016).

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.052
Threshold uncertainty score0.969

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.023
GPT teacher head0.318
Teacher spread0.295 · 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