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Record W4402200767 · doi:10.59589/noso.42024.16669

Names as a trans technology

2024· article· en· W4402200767 on OpenAlexaffabout
Julia Sinclair-Palm

Bibliographic record

VenueNordic Journal of Socio-Onomastics · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicNames, Identity, and Discrimination Research
Canadian institutionsCarleton University
Fundersnot available
KeywordsGender identityIdentity (music)Intelligibility (philosophy)PsychologySociologyGender studiesSocial psychologyEpistemologyAestheticsArt

Abstract

fetched live from OpenAlex

Children are often given a name based in some part on the sex they were assigned at birth. For trans youth, their given name does not always reflect their gender and so an aspect of their transition often includes changing their name. Drawing on interviews with trans youth in Australia, Ireland and Canada, I explore how trans youths’ naming practices offer insight into the ways that they express their desire for intelligibility and safety, while simultaneously navigating gender norms and a new sense of identity. In this paper, I engage with trans studies and critical child studies to argue that naming practices are a trans technology that trans youth use to strategically navigate gender. For some trans youth, chosen first names are described as way to be seen as one of the two societally recognized genders (man or woman), and for others, their chosen first name reflects their resistance to cisnormativity and naming practices that adhere to binary gender norms.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.029
Scholarly communication0.0090.013
Open science0.0010.014
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.027
GPT teacher head0.376
Teacher spread0.349 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueNordic Journal of Socio-OnomasticsSame topicNames, Identity, and Discrimination ResearchFrench-language works237,207