“I FEEL LIKE I NEED TO GO BACK TO MY VILLAGE, BUT WHERE’S MY VILLAGE?” A PHOTOVOICE EXPLORATION OF THE EXPERIENCES OF HARM REDUCTION FROM COMMUNITY YOUTH IN SASKATOON, SASKATCHEWAN
Bibliographic record
Abstract
Background: While a singular, conclusive definition of harm reduction does not exist, the vast majority of harm reduction literature focuses on the historical roots of harm reduction, specifically related to substance use. Harm reduction is ultimately about meeting people where they are at in their health journey and supporting them in their path toward well-being. This health journey could look different for everyone, indicating the necessity for a range of supports such as nutrition, housing, hygiene, health care, health education, counselors, and cultural support. However, what is often missing from discussions about harm reduction are the perspectives of youth.\nObjective: The present study explored youth experiences of harm reduction from the perspective of urban Community Youth in Saskatoon, Saskatchewan. The present study examined the supports and barriers these youth encounter in taking up harm reduction for themselves or to support their loved ones (e.g., friends, family members, significant others).\nMethods: This community-based, phenomenological study was conducted in collaboration with Chokecherry Studios, The Students Commission of Canada, and a Youth Advisory Committee. Using a snowball sampling strategy, four youth between the ages of 18-23 who live in Saskatoon were recruited. Participants captured photographs that represented their experiences with seeking harm reduction for themselves or their loved ones and participated in either two group or one-on-one interviews to discuss their experiences concerning the photographs.\nResults: Results indicate five superordinate themes best accounted for participant interpretations of their experiences: (Supports) Seeking Support, Meeting Basic Needs, and Harms Reducing Harms; (Barriers) Community Disconnection and Stigma. Together, these themes represent how Community Youth were supported and impeded in their uptake of harm reduction.\nDiscussion: Implications of findings contribute to a wider understanding of harm reduction, acknowledging the historical basis that substance use has in harm reduction, while moving towards a wider, more comprehensive understanding of how harm, harm reduction, and harm reduction uptake are experienced by Community Youth in their everyday lives.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.006 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".