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Record W7052129704

The radicalization of homegrown terrorists: A social-personality model

2012· dissertation· en· W7052129704 on OpenAlexaffabout

Bibliographic record

VenueeScholarship@McGill (McGill) · 2012
Typedissertation
Languageen
FieldEngineering
TopicPlasma Diagnostics and Applications
Canadian institutionsMcGill University
Fundersnot available
KeywordsRadicalizationTerrorismNarrativeDominance (genetics)Empirical researchSocial dominance orientationIdentity (music)
DOInot available

Abstract

fetched live from OpenAlex

A new type of terrorist has emerged in the last decade. Inspired by jihadi ideology, these individuals are born and raised in the very country they wish to attack. Such homegrown terrorism has become the primary concern of security agencies in Western countries. While many theories purport to describe the exact stages involved in the radicalization leading to homegrown terrorism, very little empirical data exists on the psychology of those who become radicalized. In the present dissertation, I propose and test a novel model of the social psychological factors contributing to radicalization: the two-factor model of homegrown terrorism. The origins of the two-factor model are discussed in Manuscript 1, where I reviewed five major models of radicalization and analyzed them through the lens of terrorism studies and social psychology. This analysis yielded several avenues for future research, including the importance of the jihadi narrative and of personality traits. These two themes then formed the basis of the two-factor model of homegrown terrorism tested in Manuscript 2. In order to derive specific, testable hypotheses, social identity theory was used to deconstruct the jihadi narrative and social dominance theory was used to inform the theme of personality. I hypothesized that the jihadi narrative, which underscores a threat to Islam, is interpreted on an individual level as a threat to collective pride, and that low social dominance orientation (SDO) is linked to increased support for the use of violence. Together, a threat to collective pride and low SDO formed the two-factor model of homegrown terrorism. The initial test of the two-factor model consisted of a survey conducted with Canadian Muslims. Results supported one factor in the model but not the other. Respondents who perceived a greater threat to Islam reported less collective pride, which in turn lead to more aggressive action tendencies towards non-Muslim Canadians. Moreover, it was high SDO, rather than low SDO, that were linked to more aggressive action tendencies towards non-Muslim Canadians. A similar pattern of results was found in two laboratory experiments where participants were deceived into thinking that group members had either truly planned, or successfully carried out, acts of terrorism. When this violence was presented as a response against a threat to group pride, strongly identified group members viewed terrorism more positively. Moreover, during these experiments, higher levels of SDO were associated with more positive appraisals of terrorism. Manuscript 3 describes additional testing of the link between high SDO and terrorism. Capitalizing on an annual large-scale civil-war simulation, I investigated if participants' personality characteristics predicted their selection of simulation role. For two consecutive years, students who requested to enact terrorists and insurgents rated significantly higher on SDO than students requesting other roles. Overall, the results identify collective pride and high SDO as key factors in the radicalization process leading to terrorism. Implications for future research and counter-terrorism strategies are discussed.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.016
GPT teacher head0.233
Teacher spread0.217 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations0
Published2012
Admission routes2
Has abstractyes

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