Love & hate in the Downtown Eastside of Vancouver: features of an unusual drug scene
Bibliographic record
Abstract
Purpose According to conventional research and political conceptions, illicit drug scenes are often characterised by cultures of crime, violence and deceit and customarily met by repressive law enforcement. However, a growing body of research demonstrates the very diverse nature of drug subcultures. This paper aims to explore this diversity and thereby investigates the psychosocial and socio-spatial features people selling and/or using drugs in the Downtown Eastside of Vancouver (DTES) attribute to the local drug scene. Design/methodology/approach Qualitative in-depth interviews were conducted with 23 persons with drug selling and/or using experiences in the DTES. Interviews were analysed and interpreted according to grounded theory. Findings Participants represent the social fabric of the DTES drug scene as comprising complexly interwoven facets and structures including frequent, brutal violence on the one hand and sincere, heart-rending compassion, care and even love on the other. Originality/value Police and social and health services can cooperate constructively with the overriding aim of individual and social harm reduction. Thereby, the existing social network and prosocial orientations of a drug scene can be used in effective approaches such as participatory policy strategies and peer-driven interventions.
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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 | 0.001 | 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 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".