Making Sense of Murder: The Reality versus the Realness of Gang Homicides in Two Contexts
Bibliographic record
Abstract
Despite the proliferation of research examining gang violence, little is known about how gang members experience, make sense of, and respond to peer fatalities. Drawing from two ethnographies in the Netherlands and Canada, this paper interrogates how gang members experience their affiliates’ murder in different street milieus. We describe how gang members in both studies made sense of and navigated their affiliates’ murder(s) by conducting pseudo-homicide investigations, being hypervigilant, and attributing blameworthiness to the victim. We then demonstrate that while the Netherland’s milder street culture amplifies the significance of homicide, signals the authenticity of gang life, and reaffirms or tests group commitment, frequent and normalized gun violence in Canada has desensitized gang-involved men to murder, created a communal and perpetual state of insecurity, and eroded group cohesion. Lastly, we compare the ‘realness’ of gang homicide in The Hague with the ‘reality’ of lethal violence in Toronto, drawing attention to the importance of the ‘local’ in making sense of murder and contrasting participants’ narratives of interpretation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".