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Record W4401089664 · doi:10.5771/9781683933557

Vigilante Justice in Society and Popular Culture

2022· book· en· W4401089664 on OpenAlexaboutno aff

Bibliographic record

VenueLexington Books · 2022
Typebook
Languageen
FieldSocial Sciences
TopicLaw in Society and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsEconomic JusticePopular cultureSociologyPolitical scienceCriminologyMedia studiesLaw

Abstract

fetched live from OpenAlex

This unique collection explores the complex issue of vigilantism, how it is represented in popular culture, and what is its impact on behavior and the implications for the rule of law. The book is a transnational investigation across a range of eleven different jurisdictions, including accounts of the Anglophone world (Australia, Britain, Canada, and the United States), European experiences (Germany, Greece, Italy, Poland, and Portugal), and South American jurisdictions (Argentina and Brazil). The essays, written by prominent international scholars in law, sociology, criminology, and media studies, present data, historical and recent examples of vigilantism; examine the national Laws and jurisprudence; and focus on the broad theme of vigilante justice in popular culture (literature, films, television). Vigilante Justice in Society and Popular Culture sheds light on this topic offering a detailed look beyond the Anglophone world. This collection will enrich the debate by adding the opportunity for comparison which has been largely lacking in scholarly debate. As such, it will appeal not only to scholars of law, sociology, criminology, and media studies, but also to all those who are engaged with these topics alike.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.006
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.006
Scholarly communication0.0060.003
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.021
GPT teacher head0.284
Teacher spread0.263 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations2
Published2022
Admission routes1
Has abstractyes

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