Alexithymia and Depersonalization in Child Sex Offenders: The Role of Emotion Regulation
Bibliographic record
Abstract
The aim of the present study is to examine the constructs of alexithymia and depersonalization in a sample of child sex offenders and a matched control group. Alexithymia and depersonalization are personality constructs that indicate deficits in the ability to regulate emotions. Forty child sex offenders and 59 matched control subjects completed the Toronto Alexithymia Scale (TAS-26), the Rumination-Reflection Questionnaire (RRQ), and the Scale of Depersonalization Experiences (SDPE). The child sex offenders reported significantly more depersonalization experiences than the control subjects. Moreover, the child sex offenders showed also higher levels of alexithymia than the control group. They were less capable of describing and regulating their feelings. Logistic regression showed that depersonalization is a better discriminatory factor for sexual offensive behavior than alexithymia. The results are discussed in relation to emotion regulation and sexual offending.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 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 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".