Fronts and Friends: Social Contingencies in the Management of Drug Debt
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
Illicit drug markets have long been associated with violence as a mode of regulating market behavior, especially regarding debts linked to drug purchase. While a growing literature examines violent and nonviolent modes of ensuring repayment by dealers and lenders, little research has focused on strategies of buyers and borrowers in navigating drug debt. Drawing on interviews with 75 people who use drugs within a materially disadvantaged neighborhood, we explore experiences in managing debt to dealers and within social networks adjacent to drug markets. Findings describe complex strategies to protect reputation, foster relationships with dealers, and employ cooperative, assertive, or coercive tactics to negotiate credit arrangements that sustain and stabilize the drug market while mitigating violent retaliation for unpaid debt. Findings also elucidate informal credit arrangements within social networks, identifying reciprocity and self-control as constitutive of social capital within friendship groups that serve as financial and social safety nets. This research considers socially embedded, boundedly rational decisions of marginalized drug market actors, highlighting diverse financial management practices among structurally vulnerable borrowers that serve economic and social goals while seeking to mitigate the risk of violence.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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 it