“I Came Because I Knew It Was Geared Towards Queer People”: A Queer and Trans Youth-Led Workshop on Sexuality Education
Bibliographic record
Abstract
This paper details how, in partnership with young people, community workshops centred on queer joy can offer queer and trans youth sexuality education (SE) that is relevant to their experiences, lived realities, and desires. In the data, young people discuss how tailored content, queer pedagogies, youth-centric approaches, and affirming spaces that are responsive to their questions might improve their sexuality knowledge as well as their mental health. A total of 22 youth participants from a mid-size Canadian city, the vast majority of whom identified as queer and/or trans, registered in a weekend workshop to evaluate SE video lessons created by educators enrolled in our partner organization’s sexuality education training program. Through this process, young people leaned on both their expertise and experience to critically reflect on the content and pedagogies employed by the educators. Additionally, 14 youth participated in post-workshop interviews where they continued these conversations and reflected on their SE experiences. In contrast to queer and trans young people’s more violent experiences in classrooms, public spaces, and political discourses, this community intervention workshop cultivated community, knowledge, power, and solidarity between and among youth participants. As they used and created memes to laugh in the face of structures and situations that attempt to erase their bodies and experiences, young people reached for a vision of sexuality education that not only includes them but centres on their desires and curiosities.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.018 | 0.006 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".