Risk and resilience in a time of crisis: The experiences of LGBTQ+ youth and young adults participating in a virtual AFFIRMative CBT group (AFFIRM Online) during the COVID-19 pandemic, 2020–2022
Bibliographic record
Abstract
Introduction: LGBTQ+ youth experience significant mental health challenges, which were exacerbated by the COVID-19 pandemic. This empirically explores the experiences of LGBTQ+ youth during COVID and their participation in AFFIRM Online, a digital affirmative CBT intervention. Methods: Thematic analysis of longitudinal qualitative questionnaires explored the experiences of 184 LGBTQ+ youth during waves 1–5 of the pandemic.Result: Three themes emerged: (a) Connecting with Community During Lockdown; (b) Fostering Calm in the Chaos; and (c) Developing Hope and Coping Skills for a “Post-COVID” Future. Conclusion: Digital interventions can help LGBTQ+ youth develop coping skills that support resilience during a significant crisis.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".