Embodied Engagements: Body Mapping in a Sociology of Sexuality Classroom
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Using a collaborative autoethnographic approach, we discuss body mapping as an embodied pedagogical practice for teaching sexuality. Body mapping centers stigmatized bodies through guided visual, oral, and textual self-representation. We begin by discussing embodied pedagogies and the bind of representation (ideas grounded in the work of feminists of color) in teaching and learning about sexuality. We then consider three body mapping experiences: in a sexuality education graduate seminar ( seminar mapping), as a remote synchronous practice ( remote mapping), and as a solo practice ( solo mapping). We explore challenges in representation, embodied difference, and the im/possibility of mapping the sexual. Finally, we consider the implications and applications of body-mapping exercises for sexualities classrooms.
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it