Community (dis)connectedness and identity among LGBTQIA+ people during the COVID-19 pandemic: a qualitative cross-sectional and longitudinal trajectory study
Bibliographic record
Abstract
The coronavirus (COVID-19) pandemic and associated shelter-in-place ordinances rapidly limited access to in-person social interactions, raising concerns of diminishing social support and community cohesion while psychological stressors increased. For LGBTQIA+ people, connectedness to the LGBTQIA+ community buffers against the harmful effects of stressors and decreases risks for poor psychological and behavioural health outcomes. The current study uses qualitative cross-sectional (between-person) and trajectory (within-person) analysis methods to characterise how LGBTQIA+ people’s perceptions of community connectedness shifted during the first year of the pandemic. A convenience sample of LGBTQIA+ people in the U.S. completed an initial online survey in September 2020 (n = 298 and a follow-up survey in September 2021; n = 129). The survey included questions about changes in connectedness to the LGBTQIA+ community since the pandemic’s beginning. Eight cross-cutting themes (related to identity shifts/exploration, disconnection, online connections, and increased awareness of social justice issues) were identified and then organised within each level of the LGBTQIA+ Social-Ecological Model (i.e. the individual-, couple-, interpersonal-, organisational-, community-, and chronosystem- level). Given the importance of social support for LGBTQIA+ wellbeing, more longitudinal research is needed to determine whether these changes persist after the resolution of the acute phase of the pandemic.
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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 | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| 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".