“There’s a lot of DIY joy”: elevating queer joy through participatory visual research with 2SLGBTQIA+ folks in Atlantic Canada
Bibliographic record
Abstract
In this article, we reflect on experiences of gender euphoria and do-it-yourself (DIY) queer joy during a collage-making workshop with an intergenerational group of 2SLGBTQIA+ participants and researchers. The workshop is part of a larger participatory visual research project called Pride/Swell±an initiative that has been bringing together queer and trans people from across Atlantic Canada to make art since 2020. During an in-person workshop with 40 participants in 2023, we made collages in response to the conditions which gave rise to pleasure, euphoria, and joy. Through our artmaking, participants and the project’s research team shared that joy often emerged through queer self-expression, chosen families and communities, and by having an affirming experience. We also found collage-making acted as a resistive practice and that too became an expression of joy. As scholarship begins to respond to the joy deficit in sociological research, our aim is to add to these conversations by exploring how participatory visual research production creates conditions for queer joy and euphoria to emerge. At the same time, we also highlight the moments during our workshop where queer joy failed – reminding us that queer joy, as praxis, needs to be further complicated and theorized.
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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 | 0.012 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.049 | 0.030 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".