Critical reflections and reflexivity on responding to the needs of LGBTQ+ youth in a global pandemic
Bibliographic record
Abstract
The global community has been significantly impacted by the COVID-19 global pandemic. LGBTQ+ (i.e., lesbian, gay, bisexual, transgender, queer, etc.) youth may face increased stressors amidst the pandemic given their significant mental and sexual health disparities, pervasive rejection - including quarantining in homes with heightened risk of abuse and victimization, and a lack of access to essential resources. Responsive supports are needed at this time for vulnerable LGBTQ+ youth, particularly tailored mental health supports. This critical reflexive paper will highlight, as qualitative social work researchers and practitioners, the swift response to the needs of vulnerable LGBTQ+ youth across Canada during this pandemic. We provide a transparent account of how we have utilized critical reflexivity, cultivated through qualitative research, to support LGBTQ+ youth. This article will elucidate the importance of critical reflexivity in effectively transitioning essential offline mental health services for LGBTQ+ youth to a technology-mediated mental health affirmative intervention. The aim of this paper is to provide qualitative researchers and practitioners practical direction through important insights gleaned by supporting marginalized LGBTQ+ youth during particularly trying times such as a global pandemic.
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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 | 0.074 | 0.073 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.029 | 0.093 |
| Scholarly communication | 0.017 | 0.013 |
| Open science | 0.003 | 0.018 |
| Research integrity | 0.005 | 0.012 |
| 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".