Sexual abuse and mental ill health in boys and men: what we do and don't know
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.
Bibliographic record
Abstract
Summary The spectrum of adverse mental health trajectories caused by sexual abuse, broadly defined as exposure to rape and unwanted physical sexual contact, is well-known. Few studies have systematically appraised the epidemiology and impact of sexual abuse among boys and men. New meta-analytic insights ( k = 44; n = 45 172) reported by Zarchev and colleagues challenge assumptions that men experiencing mental ill health rarely report sexual abuse exposure. Adult-onset sexual abuse rates of 1–7% are observed in the general population, but for men experiencing mental ill health, adult lifetime prevalence was 14.1% (95% CI 7.3–22.4%), with past-year exposure 5.3% (95% CI 1.6–12.8%). We note that these rates are certainly underestimates, as childhood sexual abuse exposures were excluded. Boys and men with a sexual abuse history experience substantial disclosure and treatment barriers. We draw attention to population health gains that could be achieved via implementation of gender-sensitive assessment and intervention approaches for this at-risk population.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| 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 it