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Record W7135470555

Stand against the wiles of the devil. Interpreting QAnon as a Christian extremist movement

2022· dissertation· en· W7135470555 on OpenAlexaboutno aff
Nicolò Miotto

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2022
Typedissertation
Languageen
FieldSocial Sciences
TopicTerrorism, Counterterrorism, and Political Violence
Canadian institutionsnot available
Fundersnot available
KeywordsTerrorismViolent extremismField (mathematics)HermeneuticsMovement (music)IslamSemiotics
DOInot available

Abstract

fetched live from OpenAlex

QAnon has become a prominent domestic security threat in recent years due to the involvement of its supporters in violent terrorist and criminal acts. Numerous QAnon supporters participated in the 2021 U.S. Capitol Storming and the 2022 Freedom Convoys in Canada, committing criminal violent and non-violent acts. When analysing these events, researchers have observed that numerous QAnon supporters have been influenced by religious and spiritual beliefs, emphasising the importance of QAnon's religious dimensions and their impact on individuals' radicalisation. However, academics have not explored such religious dimensions by drawing upon the body of literature from the field of religious studies, thus overlooking core facets of QAnon's religious dimensions. By conducting an empirically driven research based on the collection and analysis of QAnon religious imagery downloaded from QAnon- related Telegram channels, this dissertation aims to analyse QAnon's religious dimensions and hypothesise about the potential impact of religious extremism on its affiliates' propensity to violence. The visual analysis conducted by applying both semiotics and hermeneutics to QAnon religious imagery shows that QAnon can be labelled as a Christian extremist movement that shares commonalties with the religious phenomena...

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.007
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0040.006
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.007
GPT teacher head0.274
Teacher spread0.267 · 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 designQualitative
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
Published2022
Admission routes1
Has abstractyes

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