Intimate Possibilities: The Beyond Bullying Project and Stories of LGBTQ Sexuality and Gender in US Schools
Bibliographic record
Abstract
In this article, Jen Gilbert, Jessica Fields, Laura Mamo, and Nancy Lesko explore the Beyond Bullying Project, a multimedia, storytelling project that invited students, teachers, and community members in three US high schools to enter a private booth and share stories of lesbian, gay, bisexual, trans, and queer (LGBTQ) sexuality and gender. While recent policy making and educational research have focused on links between LGBTQ sexuality and gender, bullying, and other risks to educational and social achievement, Beyond Bullying aimed to identify the ordinary stories of LGBTQ sexuality and gender that circulate in schools and that an interventionist framing may obscure. After offering an overview of the method in Beyond Bullying, this article connects narratives of LGBTQ desire, family, and school life to the intimate possibilities—who students and teachers are, who they want to be, and the social worlds they want to build—available to them in schools.
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.014 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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".