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Record W2553360482 · doi:10.1177/1741659016676864

Cultural confessions: Law and the racial scrutiny of the Indo-Canadian home in Metro Vancouver

2016· article· en· W2553360482 on OpenAlexafffundabout
Bonar Buffam

Bibliographic record

VenueCrime Media Culture An International Journal · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicRace, History, and American Society
Canadian institutionsOkanagan University CollegeUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
FundersSocial Sciences and Humanities Research Council of CanadaUniversity of British Columbia
KeywordsRealmScrutinyConfessionalSociologyPrinciple of legalityCivilityLawSecularityPublic spaceNarrativeCriminologyPolitical scienceGender studies

Abstract

fetched live from OpenAlex

In Metro Vancouver, the recurrence of gang violence involving young South Asian men has spawned a series of public explanations about a new threat to public safety: the ‘Indo-Canadian gangster’. This article explicates the racial force of a specific exposé on the putatively ‘cultural’ origins of the Indo-Canadian gangster which identifies the domestic realm of the city’s South Asian populations as the principal cause of this gang violence. By tracking the trajectories of this exposé and other texts that take similar confessional forms, this article provides important insight into the differential capacity of texts to attract public attention and to persuade, by virtue of the narrative forms they assume as well as the semantic content of the knowledges they mobilize. On the one hand, this article documents the tropes of cultural inertia that characterize public knowledges of the ‘Indo-Canadian home’, which is configured as a domestic space that is culturally insulated from putatively Western norms of civility and legality. On the other hand, it explains how this exposé acquires its epistemic force from the confessional form of the knowledges it circulates, which acts as a mechanism of cultural interpellation for South Asian actors who are positioned to renounce and disavow the pathologies of Indo-Canadian culture.

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 score0.708
Threshold uncertainty score0.993

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 studies0.0010.002
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.017
GPT teacher head0.307
Teacher spread0.290 · 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
Published2016
Admission routes3
Has abstractyes

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