Photovoice groups on youth mental health: lessons learned under the global pandemic
Bibliographic record
Abstract
This article describes the Photovoice Project, which was developed to engage youth in exploring mental health and enhancing their emotional well-being. As the project was about to begin, the COVID-19 pandemic reached Canada in late winter 2021. During this period, youth experienced heightened isolation due to evolving social distancing restrictions and growing mental health challenges. Despite these difficulties, six Photovoice groups were successfully conducted in a western province of Canada, involving 44 youth participants. Program feedback was collected from youth, parents or guardians, youth advisors, group facilitators, and project coordinators who were involved in designing and implementing the project. This article presents end-of-program findings on: (1) challenges in implementing the Photovoice Project during the pandemic; (2) lessons learned overcoming challenges under the pandemic; (3) meaningful group experiences for youth; and (4) Photovoice’s promising potential for youth engagement. The article concludes with implications for social work practice, education, and research.
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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 | 0.011 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.002 | 0.003 |
| 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".