Community-based participatory action research with LGBTQIA+ youth during the COVID-19 pandemic: Reflections from a collaborative autoethnography
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
We use a collaborative autoethnography (CAE) methodology to explore how our research team conducted community-based participatory action research (CBPAR) with lesbian, gay, bisexual, transgender, queer, questioning, intersex, asexual, and other sexually and gender diverse youth (LGBTQIA+) youth during the COVID-19 pandemic, which required us to modify our original research approach. This paper describes the authors’ processes and provides critical reflections on continuing to use CBPAR during the pandemic with LGBTQIA+ youth to develop and evaluate a mental health intervention (i.e., Tuned In!) that aims to address their mental health needs. Our CAE revealed three main themes: 1) Enhancing Accessibility; 2) Centering the Voices of LGBTQIA+ Youth; 3) Prioritizing Relationships and Community Building, and an over-arching theme of Trust that facilitated our efforts. Taken together, our findings illuminate practical approaches to engage LGBTQIA+ youth through research despite myriad obstacles brought on by the pandemic.
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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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.008 |
| Science and technology studies | 0.009 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 it