The geographic scope of opiate substitution therapy in an urban area in Canada
Bibliographic record
Abstract
Opiate substitution therapy (OST) is an interdisciplinary treatment method for individuals experiencing opiate addictions. Municipalities internationally are working through a process of responding to both the need for OST clinics and community concerns around these clinics. The purpose of this quantitative descriptive study was to better understand the geographic spread of those currently accessing OST in an urban area in Canada. This will serve to assist related policy-making. Postal codes of 796 individuals accessing OST were obtained from one clinic and one dispensing pharmacy. Representing 581 unique data points, these were mapped across the 26 residential neighbourhoods in the city of study. Individuals accessing OST were located within an 11 km radius of the clinic and pharmacy. Situated in every neighbourhood in this radius, individuals accessing OST were in 24 of the 26 possible residential neighbourhoods. Ultimately, data support the hypothesis that individuals accessing OST are located in all residential neighbourhoods in the urban area of study. This supports current literature indicating that addiction exists throughout all urban areas rather than being limited to only certain neighbourhoods. This has implications for zoning of OST clinics and pharmacies, as municipalities must balance neighbourhood concerns while not overly restricting access throughout the municipality.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| 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".