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Record W4391262996 · doi:10.1080/09546553.2023.2296515

The Emergence of the Incel Community as a Misogyny-Motivated Terrorist Threat

2024· article· en· W4391262996 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueTerrorism and Political Violence · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicTerrorism, Counterterrorism, and Political Violence
Canadian institutionsDalhousie University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsTerrorismCriminologyPolitical scienceViolent extremismPolitical economySociologyLaw

Abstract

fetched live from OpenAlex

The incel (involuntary celibate) community is characterized by misogynistic beliefs surrounding women and a fatalistic outlook on society. Incels have committed, or have attempted to commit, several acts of mass violence globally, which suggests they are an emerging terror threat. In this study, we discuss how incels position their violence as ideological terrorism, how this violence is tied to misogyny despite incels’ additional targeting of non-women, and finally, the extent to which incels are, or at least claim to be, anti-violence or otherwise non-violent. To do this, we inductively analysed over 1000 comments from a popular incel forum, Incels.is, detailing how incels discuss three mass-murderers associated with the incel community: Elliot Rodger, Alek Minassian, and Jake Davison. Through revealing the ways incels discuss these three men, we conclude that incels view their own violence as terrorism with ideological aims, thus qualifying the community as a terrorist threat.

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 categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.487
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.004
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.018
GPT teacher head0.332
Teacher spread0.314 · 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