Walk With Me: reducing harm and confronting the toxic drug poisoning crisis in small British Columbia cities through community engaged research
Bibliographic record
Abstract
In an era of escalating and intersectional crises, the toxic drug poisoning crisis stands out as a devastating and persistent phenomenon. Where we write from in British Columbia (BC), Canada, over 13,000 deaths have occurred in the eight years since the toxic drug poisoning crisis was declared a provincial health emergency. While many of these deaths have occurred in large urban centres, smaller rural communities in British Columbia are also grappling with the profound impacts of the toxic drug poisoning crisis and are struggling to provide adequate support for their vulnerable populations. In response to these challenges, the Walk With Me research project has emerged in the Comox Valley of Vancouver Island, BC, employing community-engaged methodologies grounded in pluralist knowledge production. Walk With Me seeks to understand the unique manifestations of the toxic drug poisoning crisis in small communities, identifying local harm reduction interventions that can foster community resilience, and aiming to catalyze sustainable change by amplifying the voices of those directly affected by the crisis to advocate for policy changes. This paper outlines the conceptual and methodological underpinnings of the Walk With Me project as a harm reduction initiative, which holds community partnerships and diverse ways of knowing at its heart. It presents the community-engaged research framework used by the project to address overlapping health and social crises, offering practical examples of its application in various research projects across sites and organizations. The paper concludes with a reflection on the impacts of Walk With Me to date, highlighting the lessons learned, challenges encountered, and opportunities for future research and action. Overall, this article captures the urgent need for community-engaged approaches to address the toxic drug poisoning crisis and other multidimensional crises facing society, particularly in smaller and rural communities, underscoring the potential for meaningful change through collaborative, grassroots efforts.
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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 | 0.045 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.018 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.013 |
| Insufficient payload (model declined to judge) | 0.001 | 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".