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Record W2811485111 · doi:10.1002/ijgo.12573

Management of intersex newborns: Legal and ethical developments

2018· article· en· W2811485111 on OpenAlex

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.

Bibliographic record

VenueInternational Journal of Gynecology & Obstetrics · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSexual Differentiation and Disorders
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineFemininityPostponementPsychological interventionMasculinityDevelopmental psychologyGender studiesPsychiatryPsychology

Abstract

fetched live from OpenAlex

Countries worldwide are increasingly expanding male/female binary sex classifications to recognize a third status. Intersex newborns may be included in this third category on birth certification. Parents, families, and communities require counselling and education to accommodate intersex newborns without stigma or discrimination. Whatever its biological or genetic origin, intersex status is a natural if relatively uncommon condition (one in 1500-2000 live births) that distinguishes sex from gender. The tendency of societies to recognize only male and female genders at birth has resulted in intersex children being subjected to invasive surgery and related, sometimes lifelong, medication to confirm them as male or female. On gaining maturity, some are severely distressed and resentful that early gender assignment was mistaken, particularly when excision of testes to enforce femininity or of ovaries to enforce masculinity has denied them procreative capacity. Emerging principles support postponement of such interventions until intersex individuals can make a gender choice for themselves.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.663
Threshold uncertainty score0.283

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0000.000

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 head0.012
GPT teacher head0.298
Teacher spread0.286 · 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