‘Bright Lights and Dark Knights’: Racial Publics and the Juridical Mourning of Gun Violence in Toronto
Bibliographic record
Abstract
On 26 December 2005, 15-year-old Jane Creba was killed by gunfire that erupted between two groups of young men in the central consumer district of Toronto. This article examines how the public mourning of this white high school student is routed through racial knowledges of criminality that invest her death with an affective ‘public’ significance in contradistinction to the other victims of gun violence in 2005, most of who were young African Canadian men reputed to participate in gangs. By explicating the racial modes of publicity that are borne of this event, this article illustrates how the mediated circulation of this crime scene works to articulate phantasmic geographies of segregation atop the more convivial forms of sociality that characterize life in the city. It then shows how ‘black’ gun violence is configured as a force exogenous to consumer spaces, warranting the use of legal technologies of the state to (re)establish the racial boundaries of the city. The article concludes by gesturing to the possibility of innovating modes of publicity that can resist and subvert the logic and affective force of racial knowledges that otherwise structure the mediation of crime.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.028 | 0.019 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".