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Record W4280546453 · doi:10.1080/19361653.2022.2076182

‘It’s a giant faux pas’: exploring young trans people’s beliefs about deadnaming and the term deadname

2022· article· en· W4280546453 on OpenAlex
Julia Sinclair-Palm, Kit Chokly

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of LGBT Youth · 2022
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsCarleton University
Fundersnot available
KeywordsTabooNarrativePsychologyTerm (time)Gender studiesSocial psychologySociologyDevelopmental psychologyLiteratureAnthropologyArt

Abstract

fetched live from OpenAlex

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.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.675
Threshold uncertainty score0.709

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.075
GPT teacher head0.323
Teacher spread0.249 · 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