Evaluation of a longitudinal digital citizen science initiative to understand the impact of culture on Indigenous youth mental health: Findings from a quasi-experimental qualitative study
Bibliographic record
Abstract
BACKGROUND: Indigenous youth in settler nations are susceptible to poor mental health due to complex intergenerational systemic inequities. Research has shown benefits of cultural connectedness for improving mental health; however, there are few studies which have evaluated the impact of culturally relevant mental health interventions, particularly among Indigenous youth. The purpose of this study is to assess the impact of a culturally-responsive, land-based, active living initiative on the mental health of Indigenous youth. METHODS: This quasi-experimental qualitative study is part of Smart Indigenous Youth (SIY), a mixed-methods 5-year longitudinal digital citizen science initiative. SIY embeds culturally responsive, land-based active living programs into the curricula of high schools in rural Indigenous communities in the western Canadian province of Saskatchewan. In year-1 (Winter 2019), 76 Indigenous youth citizen scientists (13-18 years) from 2 schools participated in the study. At the beginning of the term, each school initiated separate 4-month land-based active living programs specific to their culture, community, geography, and language (Cree and Saulteaux). Before and after the term, focus groups were conducted with the 2 Youth Citizen Scientist Councils, which included students from both participating schools. This study includes data from focus groups of one participating school, with 11 youth citizen scientists (5 boys, 6 girls). Focus group data were transcribed and analyzed by two independent reviewers using Nvivo to identify themes and subthemes. Both reviewers discussed their thematic analysis to reach consensus about final findings. RESULTS: Baseline focus group analyses (before land-based programming) revealed themes demonstrating the importance of Indigenous culture, identity, history, and language. Youth emphasized the impact of loss of language and culture, the importance of being a helper, and the necessity of intergenerational knowledge transfer. Follow-up focus group analyses (post land-based programming) indicated that cultural school programming led to students expressing positive mental health benefits, increased interest in ceremonies, increased participation in physical activity, and greater knowledge of culture, identity, and ceremonial protocol. CONCLUSIONS: This novel qualitative quasi-experimental study offers a window into the future of upstream interventions in partnership with Indigenous communities, where Indigenous youth can be engaged in real-time via their digital devices, while participating in culturally-sensitive, land-based school programming that promotes culture, identity, and mental health.
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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 | 0.046 | 0.035 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.006 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".