‘It just feels really nice when people call me by my name’: accounts of gender euphoria among Australian trans young people and their parents
Bibliographic record
Abstract
Gender euphoria refers to positive internal feelings of joy related to gender, and external affirmation when recognized as one’s gender. Euphoria can be an important counter to experiences of gender dysphoria for many trans people. Due to an often damage-centred approach to understanding trans people’s lives, gender euphoria remains an under-researched topic, particularly with trans young people. This paper aims to address this gap by exploring the experiences of pre-pubertal trans young people and their families at the beginning of, or who were waiting to access, gender-affirming medical care, and how this relates to their sense of self, relationships with others, and views about the future. As part of the first wave of the Australian iteration of an international longitudinal study, semi-structured interviews were conducted with 12 families (comprising 12 trans young people, 16 parents, and 2 siblings). The themes developed emphasized that gender euphoria can arise as a product of self-understanding, receiving affirming medical care, close interpersonal relationships, and interactions with people in the broader community. While gender euphoria can be normative in its enactment, it also highlights the unique aspects of being trans, helping with feelings of safety, comfort, and the hope and promise of an imagined future.
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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 | 0.007 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.013 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".