Cultural confessions: Law and the racial scrutiny of the Indo-Canadian home in Metro Vancouver
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.052 | 0.029 |
| Scholarly communication | 0.011 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".