Health Care Professionals and Intersex Conditions
Bibliographic record
Abstract
A s part of a larger project, a multidisciplinary group convened by The Hastings Center,Garrison, NY,met to considermedical, psychosocial, and ethical issues associated withthe care of children born with atypical genitalia or later found to have other condi-tions now commonly grouped together as “intersex. ” These children may have con-genital adrenal hyperplasia, gonadal dysgenesis, hypospadias, partial or complete androgen insen-sitivity syndrome, etc. This commentary reflects the deliberations of the group, which concluded that none of the appearance-altering surgeries need to be performed quickly; families with chil-dren with intersex conditions require multidisciplinary care; children with intersex conditions de-serve to know the truth about their bodies; families and health care professionals will benefit from rigorous longitudinal studies; and health care professionals need additional training about inter-sex conditions and sexual health generally. Parents andphysicians of childrenwith in-tersex conditions rarely know about the conditionbeforebirth.Therecognition that a child does not appear typically “male” or “female ” prompts distress, confusion, and uncertainty, no matter the age at di-agnosis. When health care professionals
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.011 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".