‘I turn to my closest friends for support’ : queer youth navigating mental health during COVID-19
Bibliographic record
Abstract
The objectives of this in-depth qualitative study were to identify how COVID-19 impacted the mental health experiences of queer youth in Vancouver, Canada. Between November 2020 and June 2021, fifteen queer youth aged 15 to 25 were enrolled in the study. They participated in semi-weekly, solicited digital diary entries and semi-structured intake and follow-up interviews about COVID-19, social distancing protocols, and mental health. Using thematic analysis, two major themes were identified. First, participants described how COVID-19 impacted social support by highlighting the limitations of their existing social networks and feelings of disconnection from others in the local queer community. Second, participants described how public health guidance and the offloading of responsibility for COVID-19 risk-management onto the individual was a significant source of anxiety and stress, and how they moralised the struggle to balance compliance with the desire to connect with others. These findings highlight the need to understand the negative mental health outcomes arising from moralising approaches to public health that offload risk-management onto the individual, isolate queer youth, and hamper their identity-development processes.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.012 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".