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Record W3216593666 · doi:10.21810/jicw.v4i2.3756

Evolution of QAnon & Radicalization by Conspiracy Theories

2021· article· en· W3216593666 on OpenAlexvenueaboutno aff
Sophia Moskalenko

Bibliographic record

VenueThe Journal of Intelligence Conflict and Warfare · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicMisinformation and Its Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsRadicalizationPopularityCriminologyKey (lock)PoliticsEntertainmentSociologyPolitical sciencePandemicEpistemologyCoronavirus disease 2019 (COVID-19)LawComputer securityComputer sciencePhilosophyMedicine

Abstract

fetched live from OpenAlex

On September 16, 2021, Dr. Moskalenko presented the Emergence and Evolution of QAnon & Radicalization by Conspiracy Theories at the 2021 CASIS Vancouver Defence Security Advisory Network Workshop. A key point of discussion was the growth of self-described “truth seeking” collectives such as QAnon. The QAnon collective has been growing in popularity at an alarming rate since the beginning of the pandemic, as the group uses multiple avenues to grow its network. Dr. Moskalenko discussed how the radicalization of individuals comes from conspiracy theories through the use of outlandish and striking conspiracies that act as entertainment, isolate individual from broader society and coincidentally, degrading mental health as a result of COVID-19.

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 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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.720
Threshold uncertainty score0.509

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.035
GPT teacher head0.333
Teacher spread0.299 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations4
Published2021
Admission routes2
Has abstractyes

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