The Process of Safer Crack Use Among Women in Vancouver’s Downtown Eastside
Bibliographic record
Abstract
In this article we discuss the findings from a grounded theory study in which we explored how women residing in Vancouver's Downtown Eastside (DTES) minimized some of the physical, psychological, and interpersonal harms associated with crack cocaine use, and identify the social, economic, and political factors that influence safer use. Data were collected over a 3-month period and involved group interviews with 27 women at an agency run by drug users in the DTES. A preliminary theory of safer crack use is discussed, consisting of the central phenomenon of caring for self and others. In addition, four thematic processes are described: (a) establishing a safe physical space, (b) building trusting relationships, (c) learning about safer crack use, and (d) accessing safer equipment. Implications of the findings are discussed in relation to supporting women's efforts and improving health outcomes.
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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 | 0.030 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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; both teacher heads agree on what is shown here.
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".