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Record W4388902765 · doi:10.1080/26895269.2023.2279272

A retrospective analysis of the gender trajectories of youth who have discontinued a transition

2023· article· en· W4388902765 on OpenAlexafffund
Annie Pullen Sansfaçon, Élio Gravel, Morgane A. Gelly, Tommly Planchat, August Paradis, Denise Médico

Bibliographic record

VenueInternational Journal of Transgender Health · 2023
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsUniversité du Québec à MontréalUniversité de Montréal
FundersSocial Sciences and Humanities Research CouncilSocial Sciences and Humanities Research Council of CanadaCanada Research Chairs
KeywordsModalitiesNarrativeGender dysphoriaPsychologyTransgenderGender diversityDiversity (politics)Transition (genetics)Context (archaeology)AmbivalenceDevelopmental psychologyGender studiesSocial psychologySociologyPsychoanalysisSocial science

Abstract

fetched live from OpenAlex

Background: Detransition is frequently covered in the media as a return to a cis identity after transition. Detransition is often studied in isolation and fails to examine it in context of various stages leading to detransition. Aim: To present the perspectives and reflections of youth who have detransitioned on their journey from early transition to discontinuation, focusing on three key dimensions: gender modalities, sexual modalities, and dysphoria experiences, and their evolution during this journey. Method: We drew from 20 in-depth interviews with young people aged 16 to 25 who have discontinued a transition and examined various stages of the gender journey from early transition to detransition. Youth narratives were analyzed thematically and longitudinally. Results: We developed three main themes related to the gender journey: nonlinear gender modalities, navigating sexual modalities along with gender modalities, and coping with dysphoria and body discomfort. We found a great diversity of experiences with regard to these within each participant and across the sample. Discussion: Transition and detransition trajectories are nonlinear and heterogeneous, without any identified commonalities that enable the prediction of outcomes after transitions. However, transnormativity may influence how people who detransition are expected to conform to a certain narrative despite the diversity of experiences present in this community.

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 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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.353
Threshold uncertainty score0.484

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.402
Teacher spread0.326 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations21
Published2023
Admission routes2
Has abstractyes

Explore more

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