COVID-19 pandemic experiences of LGBTQIA + Asian youth in Canada
Bibliographic record
Abstract
LGBTQIA + Asian youth face unique challenges due to their intersecting identities (i.e. racial discrimination from LGBTQIA + communities, and LGBTQIA+ -related stigmatization from their Asian culture). The COVID-19 pandemic exacerbated existing intersectional challenges due to the closure of community spaces for LGBTQIA + Asian youth, spaces which served as a safe haven from home and anti-Asians sentiments. Thus far, there have been no studies examining how the COVID-19 pandemic was experienced by LGBTQIA + Asian Canadian youth. To address this, we completed eight online focus group discussions with 30 LGBTQIA + Asian youth from across Canada, alongside a brief quantitative questionnaire to explore specific components of participants’ mental health and well-being. Quantitative findings suggested many participants were experiencing negative mental health outcomes (i.e. stress, anxiety, and depression). Thematic qualitative analysis showed that, despite various negative impacts of COVID-19 restrictions and increased anti-Asian sentiments, restrictions allowed youth to further explore their own sexual orientations and gender identities. Participants also shared that the #stopAsianhate movement was empowering, however it largely excluded LGBTQIA+ Asian voices. With the unique intersectional challenges experienced during the COVID-19 pandemic, this study highlights the importance of maintaining inclusive supports that consider the unique intracategorical complexities experienced by LGBTQIA +Asian youth.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".