Exposures to information about castration and emotional trauma before puberty are associated with men’s risk of seeking genital ablation as adults
Bibliographic record
Abstract
Abstract Background Little is known about childhood experiences, outcomes, and self-recollections of those men who were voluntarily castrated as adults. Aim The study sought to determine how learning about castration before and after 13 years of age is associated with differential childhood experiences, outcomes, and self-recollections of those who were voluntarily castrated as adults. Methods We designed a survey of voluntarily castrated individuals, who learned about castration before and after 13 years of age. Our survey consisted of both validated questionnaires and questions. Data were from 208 individuals. Both descriptive and quantitative statistics were performed. Outcomes Learning about castration before 13 years of age is associated with more adverse childhood experiences (ACEs) such as being threatened with castration and other forms of emotional, physical, and sexual trauma. Results As compared with those who learned about castration after 13 years of age, those who knew about castration earlier were more likely to have self-injured their penis (χ21 = 5.342, P < 0.05), had thoughts of performing self-castration (χ21 = 10.389, P < 0.01), witnessed animal castration (χ21 = 10.023, P < 0.01), been threatened with castration as a child (χ21 = 21.749, P < 0.001), had childhood physical trauma (χ21 = 4.318, P < 0.05), had childhood emotional trauma (χ21 = 3.939, P < 0.05), and had childhood sexual trauma (χ21 = 5.862, P < 0.05). Clinical Implications Mental health screening and support should be offered to any men seeking emasculating procedures in line with the World Professional Association of Transgender Health’s Standards of Care Version 8. Strengths and Limitations This study had a large sample size and used a validated questionnaire to evaluate for ACEs. The average age of respondents was above 50 years of age, which may increase recall bias. Conclusion Understanding how ACEs influence the age when some eunuchs first desire, pretend, and become castrated can help clinicians develop better assessments and treatment protocols for individuals with male-to-eunuch gender dysphoria, and other conditions in which emasculating medical procedures are requested.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".