SELF-REPORTED SYMPTOMS AND PARENTS’ EVALUATION OF BEHAVIOR PROBLEMS IN PRESCHOOLERS DISCLOSING SEXUAL ABUSE
Bibliographic record
Abstract
<p><span style="font-family: Times New Roman; font-size: small;">Child sexual abuse is a prevalent social problem known to have a deleterious impact on the mental health. While sexual abuse may affect preschool children, there is a lack of knowledge regarding its short-term correlates, namely regarding internalized symptomatology due to the few available self-report measures. This study aims to (a) contrast self-reported symptomatology in a group of sexually abused preschoolers and a group of non-abused children, and (b) provide preliminary data on the psychometric properties of the adapted French version of the PRESS. Results indicate that children in the sexual abuse group (<em>n</em> = 59) show higher levels of self-reported depressive symptoms than children in the comparison group (<em>n </em>= 66). Caregivers described sexually abused preschoolers as displaying more internalized and externalized behavior problems than their non-abused peers. <strong></strong></span></p>
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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".