Rural Young People’s Experiences Through the COVID-19 Pandemic: Struggles, Support and a Way Forward for Young People’s Mental Health and Well-being
Bibliographic record
Abstract
The novel coronavirus (COVID-19) pandemic in Canada has increased attention and concern paid to young people's well-being and mental health.Narratives of isolation, exacerbated inequalities, and potential unequal recovery for young people, in particular, have been presented as a result of school closures across the country.Through these narratives, young people are framed as vulnerable, passive recipients of adult decisions and interpretations of their experiences.This research examines these narratives by conducting ethnographic fieldwork with a group of young people living in a rural Ontario town through the pandemic.This thesis presents and analyzes these young people's experiences of the pandemic related to mental health and well-being to reveal the missing nuances of adult narratives and to propose suggestions for future inclusive, accessible, rights-respecting programs for young people's mental health and well-being post-pandemic based on young people's accounts.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.014 | 0.006 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 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".