“The thing I’m missing the most is just being around other queer people”: critical analysis of the impacts of the COVID-19 pandemic on mental health of two-spirit, gay, bisexual, and queer men’s communities in Manitoba, Canada
Bibliographic record
Abstract
BACKGROUND: The purpose of this community-based study was to create and advance knowledge on the social impacts of COVID-19 on mental health of Two-Spirit, gay, bisexual, and queer (2SGBQ+) cisgender and transgender men in Manitoba, Canada. METHODS: Participants (n = 20) from 2SGBQ + men's communities were recruited across Manitoba using printed flyers and social media. Individual interviews explored questions relating to the impacts of the COVID-19 pandemic on mental health, social isolation, and service access. Data were critically examined using thematic analysis and the social theory of biopolitics. RESULTS: Key themes focused on COVID-19 pandemic's negative impacts on 2SGBQ + men's mental health, loss of safe queer public spaces, and exacerbated inequities. During the COVID-19 pandemic in Manitoba, 2SGBQ + men experienced a profound loss of social connections, community spaces, and social networks which are specific to their socio-sexual identities, thereby intensifying pre-existing mental health disparities. These findings show how COVID-19 restrictions have come to reinforce the value of close personal communities, families of choice, and social networks among 2SGBQ + men in Manitoba, Canada. CONCLUSIONS: This study supports the line of research on minority stress, biosociality, and place by highlighting some potential links between 2SGBQ + men's mental health and their social and physical environments. This research points to important role of safe community spaces, events, and community organizations that support 2SGBQ + men's mental health.
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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 | 0.013 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.053 | 0.031 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.004 | 0.008 |
| Research integrity | 0.003 | 0.008 |
| 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".