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Record W2990478966 · doi:10.3389/fsoc.2019.00076

The Sovereign Ascendant: Financial Collapse, Status Anxiety, and the Rebirth of the Sovereign Citizen Movement

2019· article· en· W2990478966 on OpenAlexaffabout
Edwin Hodge

Bibliographic record

VenueFrontiers in Sociology · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicTerrorism, Counterterrorism, and Political Violence
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsSovereigntyPoliticsPolitical economyState (computer science)CitizenshipPolitical scienceUnrestSocial movementSociologyDevelopment economicsLawEconomics

Abstract

fetched live from OpenAlex

As many scholars have noted, periods of economic or social unrest often bring about the growth or resurgence of extremist social movements on both the political left and the right. The 1990s saw the rise of the American militia movement, largely in response to the emergence of international organizations like the North American Free Trade Agreement, the General Agreement on Tariffs and Trade, and an increasingly internationalist American administration. Earlier still, during the agricultural depression of the 1920s, the chaotic social, political, and economic order proved to be fertile ground for the resurgent Ku Klux Klan. In the years immediately following the global financial collapse of 2008, the United States-and to a lesser extent Canada-saw the resurgence of the Sovereign Citizen movement, a puzzling, conspiratorial social, and political philosophy that sought to emancipate its adherents from the tyranny of an oppressive, dictatorial, and increasingly unstable system of corrupt and illegitimate states. This paper examines the origins of the Sovereign Citizen movement and illustrates the ways in which the movement's members deploy a radical concept of citizenship, rooted in conspiratorial thinking and often in direct conflict with the state to help manage status anxiety and uncertainty.

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)0.003
metaresearch head score (Gemma)0.006
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.045
Scholarly communication0.0080.007
Open science0.0010.008
Research integrity0.0030.008
Insufficient payload (model declined to judge)0.0020.000

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 head0.006
GPT teacher head0.247
Teacher spread0.240 · 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

Citations16
Published2019
Admission routes2
Has abstractyes

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