Clinical and Developmental Characteristics of Sex Offenders in Malaysian Prisons
Bibliographic record
Abstract
The population of incarcerated sex offenders in Malaysia is steadily growing. Objective: This is a descriptive study to look at what clinical and developmental characteristic are present amongst the sex offenders in Malaysia, which could be possible mitigating factors. Methods: Data was collected from offenders located in 3 prisons where the offenders are held. Results: a total of 147 prisoners participated in the study. Slightly more than half of the victims were below the age of 18, of which 10% were below the age of 12. Three quarters of offenders were thirty years and older, while 12% were below 18 years. However their problems begun much earlier in their life with 50% of the offenders reporting that they had difficulties in their primary support group, resulting in them feeling their families were less expressive, their parents were distant and unsupportive.29% of the offenders had not lived with their parents from the age of 16. More than half of the offenders reported academic, behavior and developmental difficulties; they reported losing interest in their studies and were struggling during their schooling days. 43% had history of aggressive behaviour during their adolescent years and 76% had peers who often indulged in risky behaviors. 85% of the offenders were Muslim. 40% made the criteria of Attention Deficit Hyperactive Disorder and conduct disorder while a quarter were diagnosed with having personality disorder. Slightly more than half of the offenders had alcohol and drug-related problems, 36% had history of previous crimes, mainly drug and theft offence. Conclusion: The findings show that the sex offenders are indeed a heterogeneous group with pervasive familial, behaviour, academic and social problems which are possible risk that can be identified early in the lives of offenders.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".