Bibliographic record
Abstract
One of the first ways some trans youth narrate their gender is through the process of choosing a name. Trans youth’s negotiation of naming is particularly complex as they juggle family affinities and independence, as well as try on new identities and build relationships with peers. In the midst of transitioning, and often while still materially and emotionally dependent on their families, trans youth re-write their birth stories through, in part, the process of choosing a new name. Drawing on in-depth interviews with 10 racially and gender diverse trans youth in Canada, I explore how trans youth choose a name in relation to their family. I analyze these stories using Cavarero’s theory of the formation of the self to think about what the work of names and naming exposes about how trans youth navigate their relationships with their family and their identity development. In their naming practices, trans youth discussed the relationship they have with their family and their negotiation of family reactions to the disclosure of their trans identity. Their narratives about naming and family challenge the binary discourse about family reactions as acceptance or rejection and provide stories about the complex ways trans youth navigate their relationship with their family in their daily lives.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.020 | 0.014 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| 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".