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Record W4393572541 · doi:10.1007/s10508-024-02850-4

Puberty Suppression for Pediatric Gender Dysphoria and the Child’s Right to an Open Future

2024· article· en· W4393572541 on OpenAlexaff
Sarah C J Jorgensen, Nicole Athéa, Céline Masson

Bibliographic record

VenueArchives of Sexual Behavior · 2024
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsOttawa HospitalPublic Health OntarioUniversity of Toronto
Fundersnot available
KeywordsGender dysphoriaPsychologyDysphoriaDevelopmental psychologySocial psychologyPsychiatryGender identity

Abstract

fetched live from OpenAlex

In this essay, we consider the clinical and ethical implications of puberty blockers for pediatric gender dysphoria through the lens of "the child's right to an open future," which refers to rights that children do not have the capacity to exercise as minors, but that must be protected, so they can exercise them in the future as autonomous adults. We contrast the open future principle with the beliefs underpinning the gender affirming care model and discuss implications for consent. We evaluate claims that puberty blockers are reversible, discuss the scientific uncertainty about long-term benefits and harms, summarize international developments, and examine how suicide has been used to frame puberty suppression as a medically necessary, lifesaving treatment. In discussing these issues, we include relevant empirical evidence and raise questions for clinicians and researchers. We conclude that treatment pathways that delay decisions about medical transition until the child has had the chance to grow and mature into an autonomous adulthood would be most consistent with the open future principle.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.823
Threshold uncertainty score0.408

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 science0.0010.000
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 head0.039
GPT teacher head0.395
Teacher spread0.356 · 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

Citations11
Published2024
Admission routes1
Has abstractyes

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