Engaging Queer Joy Through Art With 2SLGBTQIA+ Atlantic Canadians to Challenge Gender-Based Violence
Bibliographic record
Abstract
Queer and trans communities face increasing rates of gender-based violence (GBV) in North America, yet efforts to address GBV often fail to be inclusive. This article draws on a study that uses a participatory arts-based methodology to engage in intergenerational dialogue with queer and trans folks ages 14 to 50+ that highlighted queer joy as a method of resisting the oppressive cultural norms and policies that lead to GBV. We ask: What might queer joy offer art educators? We argue that, through the production and exhibition of over 300 images with queer and trans participants, we highlight queer joy and show the limits of cisheteropatriarchy—and systems that support it like settler colonialism and ableism—to offer an expansive vision of queer joy that centers solidarity building and queer temporality.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".