Being in a queer time: Exploring the influence of the <scp>COVID</scp>‐19 pandemic on <scp>LGBTQ</scp>+ body image
Bibliographic record
Abstract
AIM: The isolating public health measures mandated during the COVID-19 pandemic had complex influences on the lives and body image of lesbian, gay, bisexual, trans, and queer individuals (LGBTQ+) in Canada. The aim of this study was to explore the impact the COVID-19 pandemic had on body image for LGBTQ+ Canadians. METHODS: The qualitative research process was guided by queer theory and poststructuralism and consisted of an online survey with open-ended questions and semi-structured virtual interviews. A total of 70 self-identifying LGBTQ+ individuals completed the survey, and eight individuals partook in the interviews. Responses were analysed using Foucauldian discourse analysis. RESULTS: Four major discursive considerations were found to shape participants' experiences, including, (a) time for reflection, (b) time away from social surveillance, (c) time to work on oneself, and (d) time to (dis)connect. Woven through these considerations were social discourses of hetero-cis-normativity, healthism, and resistance. DISCUSSION: The COVID-19 pandemic was a 'queer time' for LGBTQ+ people. Competing social discourses created complex and often contradictory meanings of bodies and body image. COVID-19-related self-isolation was for some participants a reprieve from constant body monitoring while for others it was a time of continued pressure to embody body ideals. Participants suggested that nutritional messages during such times be ones of compassion and non-judgement of bodies.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.012 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".