Mental health challenges and resilience strategies of Indigenous youth citizen scientists living in rural areas during COVID-19 school closures
Bibliographic record
Abstract
The COVID-19 pandemic profoundly affected youth well-being worldwide, yet the specific impacts on Indigenous youth remain underexplored. This study examined how school closures and online learning influenced the active living and mental health of Indigenous youth. Secondary school students (aged 13-18 years) from rural and remote Indigenous communities in Saskatchewan, Canada, participated as youth citizen scientists to explore these impacts and co-develop resilience strategies. Data were collected using a qualitative citizen science approach through virtual engagement in January 2021 and a follow-up focus group at the end of the academic year. Thematic analysis identified four key challenges during school closures: physical inactivity, academic difficulties, social isolation, and disrupted routines with notable gendered differences. Follow-up discussions revealed positive changes, including improved academic performance, increased family support, and the protective influence of cultural practices. The findings underscore the importance of culturally grounded, community-driven strategies to foster resilience among Indigenous youth. Practical implications include the need for inclusive school-based supports, recognition of cultural resources in education, and mental health policies that reflect youth voices. Future research should expand participatory approaches to better inform policy and programming tailored to the unique needs of Indigenous youth during and beyond public health crises.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".