Unlocking a taboo topic: the sexuality of institutionalized men within a forensic psychiatric facility
Bibliographic record
Abstract
Inpatients’ sexuality in forensic psychiatric facilities remains a neglected topic. Given these circumstances, it creates barriers that hinder inpatients’ ability to express their sexuality, leading to a poor integration of sexual concerns into inpatient treatments. Inpatients’ sexuality can influence recovery journeys negatively or positively, for example by affecting medication adherence due to sexual side effects, or through the positive effects of having romantic relationships. To better understand inpatients’ needs, this qualitative research explores inpatients’ sexuality in a forensic psychiatric facility. This study aims to describe how inpatients perceive and express their sexuality while also exploring the perceived positive impacts of sexual satisfaction, sexual well-being, and intimacy on their recovery. Nine men hospitalized in a high-security forensic facility took part in an individual interview. Thematic analysis was conducted. Themes, including sexual representations and perceived benefits of sexuality, were gathered from past, present, and future contexts. Findings reveal that inpatients adapt their sexual expression in the face of barriers. Participants, while specifying their sexual needs, indicated an interest in forming a relationship with an intimate partner, seeing potential benefits for themselves and their recovery. Results underscore the need to incorporate a positive form of sexuality in treatment plans considering its positive outcomes.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".