Aboriginal Gangs and Their (Dis)placement: Contextualizing Recruitment, Membership, and Status
Bibliographic record
Abstract
Interviews with ex-gang members, police officers, and correctional service personnel suggest that the risk factors for involvement in gangs are abundant for Aboriginal youth and young adults. Aboriginal ex-gang members report the burden of discrimination and labelling based on race, in addition to the structural inequality and lack of opportunity reported as causal factors to gang involvement by gang researchers. Disadvantaged and disillusioned, encouraged by gang-involved family and friends, Aboriginal youth turn to gangs for a sense of identity and purpose. Interestingly, decades after their formation, groups such as the Indian Posse, Manitoba Warriors, Alberta Warriors, and Native Syndicate may not only be relegated to the outskirts of legitimate society but are also marginalized within the criminal world, in their organization and behind bars. Understanding Aboriginal gangs requires consideration of contextual factors, including the presence and interaction of precursors to gang involvement. These factors contribute to their pronounced presence in prisons and the suggestion that despite decades of existence they are relegated to street gang status.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.013 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| 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".