Both, and: Transmedicalism and resistance in non-binary narratives of gender-affirming care
Bibliographic record
Abstract
While gender dysphoria is a real and acute distress for many transgender people, it is not universal, and it is experienced and oriented to in a myriad of ways. However, its status as a prerequisite for gender-affirming care can lead trans people to feel compelled to amplify its salience in their pursuits for medical support. Through a critical discourse analysis of non-binary healthcare narratives, I trace the relationship between linguistic practices in these care interactions and the gender and sexual logics of the transmedicalist model of transgender care. With a focus on excerpts that center on individuals’ descriptions of dysphoria in the consultation room, I contend that these experiences are not straightforward accounts of assimilation to transmedicalist expectations. Rather, when read from a trans linguistic perspective, these strategies are examples of non-binary patients enacting their own interventions on a process over which (it may seem) they have minimal control and present a critical thirding (Tuck 2009) of a dichotomous view of either transnormativity or resistance.
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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 | 0.008 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.056 |
| Scholarly communication | 0.009 | 0.010 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.003 | 0.006 |
| 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".