Long-term adverse outcomes from neonatal circumcision reported in a survey of 1,008 men: an overview of health and human rights implications
Bibliographic record
Abstract
Amid growing bioethical and human rights concerns over non-therapeutic infant male circumcision, calls have been made to investigate long-term impacts on the men these infants eventually become. The present inquiry attempts to identify factors contributing to concerns of men claiming dissatisfaction with or ascribing harm from neonatal circumcision. This large sample size survey involved an online questionnaire with opportunities to upload photographic evidence. Respondents revealed wide-ranging unhealthy outcomes attributed to newborn circumcision. Survey results establish the existence of a considerable subset of circumcised men adversely affected by their circumcisions that warrants further controlled study. Empirical investigations alone, however, may be insufficient to definitively identify long-term effects of infant circumcision. As with non-therapeutic genital modifications of non-consenting female and intersex minors, responses are highly individualistic and cannot be predicted at the time they are imposed on children. Findings highlight important health and human rights implications resulting from infringements on the bodily integrity and future autonomy rights of boys, which may aid health care and human rights professionals in understanding this emerging vanguard of men who report suffering from circumcision. We recommend further research avenues, offer solutions to assist affected men, and suggest responses to reduce the future incidence of this problem.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".