Navigating Paths to Wellness: A Strengths-Based Photovoice Study Conducted with One First Nation in Southern Ontario, Canada
Bibliographic record
Abstract
Research on substance use challenges in First Nations communities is often deficit-focused and can reinforce paternalistic stereotypes that lead to further discrimination. In this article, we report on findings of a strengths-based Photovoice project done in collaboration with a First Nations' community in southern Ontario, Canada to better understand experiences with substance use challenges in the community. We analyzed interview data collected with seventeen individuals who have lived experience or are supporting a loved one with lived experience with a substance use challenge. Participants described sources of strength that characterized their path to wellness, including strong family and social connections, cultural practices, identity, spirituality, day-to-day activities, and helpful supports and services. Furthermore, participants made several suggestions for improving services, including the need for integrated and flexible systems of care and trustful client-provider relationships. At its core, nurturing wellness involved a transformative process involving social and/or cultural connections. The stories shared by participants demonstrate the unique and varied strengths drawn from by individuals dealing with a substance use challenge.
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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 | 0.012 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".