Policing space in the overdose crisis: A rapid ethnographic study of the impact of law enforcement practices on the effectiveness of overdose prevention sites
Bibliographic record
Abstract
North America is in the midst of an overdose crisis. In some of the hardest hit areas of Canada, local responses have included the implementation of low-threshold drug consumption facilities, termed Overdose Prevention Sites (OPS). In Vancouver, Canada the crisis and response occur in an urban terrain that is simultaneously impacted by a housing crisis in which formerly 'undesirable' areas are rapidly gentrifying, leading to demands to more closely police areas at the epicenter of the overdose crisis. We examined the intersection of street-level policing and gentrification and how these practices re/made space in and around OPS in Vancouver's Downtown Eastside neighborhood. Between December 2016 and October 2017, qualitative interviews were conducted with 72 people who use drugs (PWUD) and over 200 h of ethnographic fieldwork were undertaken at OPS and surrounding areas. Data were analyzed thematically and interpreted by drawing on structural vulnerability and elements of social geography. While OPS were established within existing social-spatial practices of PWUD, gentrification strategies and associated police tactics created barriers to OPS services. Participants highlighted how fear of arrest and police engagement necessitated responding to overdoses alone, rather than engaging emergency services. Routine policing near OPS and the enforcement of area restrictions and warrant searches, often deterred participants from accessing particular sites. Further documented was an increase in the number of police present in the neighborhood the week of, and the week proceeding, the disbursement of income assistance cheques. Our findings demonstrate how some law enforcement practices, driven in part by ongoing gentrification efforts and buttressed by multiple forms of criminalization present in the lives of PWUD, limited access to needed overdose-related services. Moving away from place-based policing practices, including those driven by gentrification, will be necessary so as to not undermine the effectiveness of life-saving public health interventions amid an overdose crisis.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.009 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".