Bibliographic record
Abstract
Abstract Femme, as an analytic, has arguably not gained traction in queer and trans educational studies until recently because both femme and pedagogy are seen as failures . Outlining some reasons why femme and pedagogy both disappoint and provoke in the Halberstam (2011) sense – namely their elusiveness, power-laden origins, and perceived excess/lack – this article proposes femme pedagogy as an erotic relational framework (Lorde, 1978) that merits more thought in queer and trans educational scholarship. Synthesizing traits identified in key papers (Bimm & Feldman, 2020; Burkholder & Keehn, 2024; Davies & Hoskin, 2021, 2022; Fields, 2023), alongside my own musings, this article outlines five tenets for femme pedagogy: (1) failure & repair, (2) softness & hardness (3) intersectional her/hir/historicizing, (4) embodied connection, and (5) joy & desire.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".