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Record W3022393871 · doi:10.3390/rel11050228

The Legacies of Bindy Johal: The Contemporary Folk Devil or Sympathetic Hero

2020· article· en· W3022393871 on OpenAlexaffabout
Manjit Pabla

Bibliographic record

VenueReligions · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicCrime, Deviance, and Social Control
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsNarrativeHEROOppressionGender studiesMasculinityFraming (construction)SociologyRacismHistoryLiteraturePolitical scienceArtPoliticsLaw

Abstract

fetched live from OpenAlex

A folk devil has the ability to elicit a community’s fear over crime. Notorious late gangster, Bindy Johal, occupies this position as his legacy stirs the social anxieties over gang violence by some in the Punjabi-Sikh community in Western Canada. A competing narrative of Johal’s legacy has emerged, which frames him in a more sympathetic light, and as an individual who overcame systemic racial barriers that subordinated the masculinity of South Asian men in British Columbia. Based on interviews with 34 authorities in the Lower Mainland of British Columbia, and drawing attention to his status as both a folk devil and hero, the discussion reveals two dueling narratives framing his legacy. The overall effect of these contradictory narratives is the overshadowing of racism, class oppression and a regional history within Sikh extremist movements that illustrate why gang involvement may appeal to some disenfranchised boys and men in the Indo-Canadian community.

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)0.002
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: Empirical
Teacher disagreement score0.387
Threshold uncertainty score0.769

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0310.032
Scholarly communication0.0070.002
Open science0.0010.004
Research integrity0.0010.005
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 head0.082
GPT teacher head0.332
Teacher spread0.250 · 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

Citations4
Published2020
Admission routes2
Has abstractyes

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