Jack-of-all-trades: social capital, criminal versatility and brokerage in a street gang network
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study draws from research on social capital and social network analysis to study the criminal careers of street gang members. The research question tested is whether access to greater social capital, by facilitating access to criminal opportunities, resources and skills, will be associated with criminal versatility. The social dynamics of street gangs and the fact that gang members have been found to be particularly active and versatile offenders provides an ideal framework to study this research question. Data on the criminal careers and social networks of gang members embedded in a large criminal network of 979 gang members and associates active from 2001 to 2008 in a large Canadian city are analyzed. Findings suggest that social capital is associated with criminal versatility. Furthermore, different social network structures in which social capital is embedded are important to understand involvement in offences requiring different skills and resources.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 it