Addressing barriers to addiction recovery services in the Northwest Territories, Canada
Bibliographic record
Abstract
The Northwest Territories, Canada, has high rates of alcohol- and drug-related hospitalisations and deaths. There is considerable debate over how to provide substance use recovery services in this region, due to its small, culturally diverse population. The aim of this study was to examine demographic differences in ethnicity, gender and sex for individuals in the barriers to accessing services, supports to stay in recovery, and reasons they struggled to stay in recovery. A total of 439 respondents completed online and paper-based surveys on their experiences accessing recovery services in the Northwest Territories. A mixed methods approach was applied, in which Fisher's exact test was applied to test for statistically significant demographic differences in quantitative responses, and themed analysis was performed using deductive coding using written survey responses. Several statistically significant demographic differences were identified in barriers to services, supports to recovery, and barriers to staying in recovery. Cultural incongruity, and the importance of social support to substance use disorder recovery, were identified as key themes that emerged in qualitative analysis. There is a need for community-based, culturally safe, and family-inclusive holistic supports at the community level to address substance use issues in the NT, including more informal confidential supports and efforts to reduce stigma and normalise and celebrate recovery.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.012 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".