A Follow-up Study of Boys with Gender Identity Disorder
Bibliographic record
Abstract
This study provided information on the long term psychosexual and psychiatric outcomes of 139 boys with gender identity disorder (GID). Standardized assessment data in childhood (mean age, 7.49 years; range, 3–12 years) and at follow-up (mean age, 20.58 years; range, 13–39 years) were used to evaluate gender identity and sexual orientation outcome. At follow-up, 17 participants (12.2%) were judged to have persistent gender dysphoria. Regarding sexual orientation, 82 (63.6%) participants were classified as bisexual/ homosexual in fantasy and 51 (47.2%) participants were classified as bisexual/homosexual in behavior. The remaining participants were classified as either heterosexual or asexual. With gender identity and sexual orientation combined, the most common long-term outcome was desistence of GID with a bisexual/homosexual sexual orientation followed by desistence of GID with a heterosexual sexual orientation. The rates of persistent gender dysphoria and bisexual/homosexual sexual orientation were substantially higher than the base rates in the general male population. Childhood assessment data were used to identify within-group predictors of variation in gender identity and sexual orientation outcome. Social class and severity of cross-gender behavior in childhood were significant predictors of gender identity outcome. Severity of childhood cross-gender behavior was a significant predictor of sexual orientation at follow-up. Regarding psychiatric functioning, the heterosexual desisters reported significantly less behavioral and psychiatric difficulties compared to the bisexual/homosexual persisters and, to a lesser extent, the bisexual/ homosexual desisters. Clinical and theoretical implications of these follow-up data are discussed.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".