Mobilizing femme pedagogy in sexuality education in New Brunswick, Canada
Bibliographic record
Abstract
What might femme pedagogy offer to sexuality education? Inspired by Jessica Fields’s (Citation2023) observation that femme pedagogies create intellectual, powerful, and intimate possibilities marked by love and care, we theorize how a femme pedagogy might be used to disrupt the cis-heteronormative, deficit spaces of conventional sexuality education. Centrally, we expand this pedagogy through four key concepts that routinely appear in our own sexuality research and teaching as two queer femmes: bodies, desire, joy, and love and care. In our analysis, we incorporate visual data we created alongside pre-service teachers who we taught in the course Comprehensive Sexuality Education Methods at a university in New Brunswick, Canada in 2023. We describe how art production informs what femme pedagogy looks like in our own sexuality education practice. We suggest that femme pedagogy can be used to mobilize and highlight queer sexualities in sensuous, imaginative, and creative ways—calling upon us to reconsider what sexuality education could be otherwise.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.025 | 0.010 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".