‘It’s a giant faux pas’: exploring young trans people’s beliefs about deadnaming and the term deadname
Bibliographic record
Abstract
Deadname is a term used to describe the name a trans person is given at birth and is a taboo topic in many trans communities. Research highlights the importance of using the chosen name of a trans person and the complex relationship young trans people have to their name(s). Drawing on interviews with young trans people in Canada and Australia, we explore the narratives they share about their relationship to their name given at birth. Through a theoretical framework that recognizes the importance of complex and even contradictory narratives in young trans people’s lives, we examine their narratives about their relationship to their name given at birth. We find that more nuance is needed to understand the significance of the words ‘deadname’ and ‘deadnaming’ in young trans people’s lives. We can all better support young trans people by recognizing they have diverse experiences and relationships to their name given at birth. We consider what this looks like when applied to educational and medical spaces.
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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 | 0.011 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.016 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".