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Record W2782684029 · doi:10.1080/09546553.2017.1404455

Radicalization as Martialization: Towards a Better Appreciation for the Progression to Violence

2018· article· en· W2782684029 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

VenueTerrorism and Political Violence · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicTerrorism, Counterterrorism, and Political Violence
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsRadicalizationSocial psychologyCollective identityIndoctrinationSociologyInjusticeSolidarityParallelsEpistemologyCriminologyPsychologyTerrorismPolitical scienceLaw

Abstract

fetched live from OpenAlex

The process whereby individual terrorists radicalize into violent extremism is typically understood as involving a series of individual mechanisms (e.g., grievance, attachment to friends, thrill), group processes (e.g., competition, social cohesion), and mass-public mechanisms. In this article, we demonstrate that this process is actually better understood as one of “martialization,” applicable to varying degrees to conventional and unconventional soldiers alike. We detail these commonalties via an analysis of six key themes in the literature: a) a sense of vicarious injustice, b) a sense of belonging/identity, c) meaning, excitement, and glory, d) active recruitment, e) indoctrination, and f) group solidarity. Lastly, we suggest why scholars have previously been blind to these parallels. By not recognizing the similarities, we are missing out on the opportunity to mobilize our entire existing knowledge base (on conventional and unconventional soldiers) for creating useful policies for countering violent extremism.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.614
Threshold uncertainty score0.919

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.022
GPT teacher head0.366
Teacher spread0.345 · 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