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Record W4380624795 · doi:10.1136/bmj-2022-073584

Detransition needs further understanding, not controversy

2023· article· en· W4380624795 on OpenAlexaff
Kinnon R. MacKinnon, Pablo Expósito-Campos, W Ariel Gould

Bibliographic record

VenueBMJ · 2023
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsPublic Health OntarioYork UniversityUniversity of Toronto
Fundersnot available
KeywordsTransgenderGender dysphoriaPsychological interventionHealth carePsychologyMedicineGender studiesPolitical scienceSociologyPsychiatryLaw

Abstract

fetched live from OpenAlex

Kinnon MacKinnon and colleagues call for robust, sensitive research to inform comprehensive gender care services for people who detransition In recent years, public discourse has drawn attention to research and clinical practice regarding gender affirming care for transgender, non-binary, and gender diverse (trans) populations. In particular, the phenomenon of gender detransition—discontinuing or reversing gender affirming medical or surgical interventions—has been thrust into the spotlight through a highly publicised legal case in the UK, brought by someone who detransitioned, that challenges the ability of people younger than 16 years to give informed consent to start medical gender affirming treatment.1 At the same time politically driven efforts across the United States are seeking to restrict those under the age of 18 from receiving gender affirming care, citing that limited long term evidence contraindicates gender affirming care for children and adolescents.23 The flurry of media attention has highlighted the complexity underlying the science of gender care and the reality that, for some trans people, gender identity and care needs may change over time. Yet media stories about detransition often disproportionately feature those who want to limit access to treatments for gender dysphoria. Understanding the full range of experiences and perspectives of people who detransition—who may be referred to as detransitioners or detrans people—is crucial to advancing the field of gender care (box 1). Box 1 ### Glossary of key concepts relevant to research and practiceRETURN TO TEXT

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.689
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.007

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 head0.125
GPT teacher head0.412
Teacher spread0.288 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations40
Published2023
Admission routes1
Has abstractyes

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