Male Victims of Sexual Abuse: Impact and Resilience Processes, a Qualitative Study
Bibliographic record
Abstract
The increasing prevalence of sexual abuse calls for exceptional awareness of its multidimensional impact on the mental, sexual, and social wellbeing of male adults. This study aims to deepen the overall understanding of sexual abuse consequences; to highlight some common resilience factors; and to strengthen therapeutic and social support. In this qualitative research, we conducted seven semi-structured interviews with male victims of sexual violence. The data were analysed with the interpretative phenomenological analysis. They shed light on the great suffering linked to sexual violence, and on seven themes which are seemingly pillars of resilience: bond to others, bond to the body, making sense of things, expression, rediscovering oneself, institutions, and finally, learning and commitment. The exploration of these themes reveals several avenues for adjusting care, most of which imply the importance of raising awareness so that spaces receiving the victims' word can emerge.
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How this classification was reachedexpand
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 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".