Queer joy-centered sexuality education: offering a novel framework for gender-based violence prevention
Bibliographic record
Abstract
2SLGBTQ+ people face disproportionately high rates of gender-based violence (GBV) compared to cisgender heterosexual people. Scholars have predominantly responded to this violence by reporting on victimization, which homogenizes queer and trans life as misery. To avoid reproducing this joy-deficit, we propose a novel approach that centers queer sexual joy. As rape culture is symptomatic of cisheteronormativity, queer sexual joy is a useful analytic with which to subvert GBV. Drawing on findings from the Queer Sexual Joy project, a mixed-methods study involving 100 young adults from Canada and the US, we introduce six recommendations for a framework to focalize queer and trans sexual joy in GBV prevention education, including: 1) containers for safety; 2) communication strategies; 3) bodily autonomy; 4) trauma-informed, anti-oppression, 5) pleasure; and 6) dissociation and grounding practices. We propose that GBV education rooted in queer sexual joy would reorient all youth from hegemonic sexual scripts and provide a frame for more just sexual cultures.
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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 | 0.006 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.009 | 0.024 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.007 | 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".