Post Traumatic Stress Disorder/PTSD in adolescent victims of sexual abuse: resilience and social support as protection factors
Bibliographic record
Abstract
This analysis examined the contribution of personal, family (maternal and paternal support; sibling support) and extra-familiar (peer support; other adults) resilience to the prediction of clinical levels of PTSD symptoms in adolescents reporting sexual abuse. Controls were established for abuse-related variables (type of abuse, severity and multiple abuse) in a representative sample of high schools students in the province of Quebec. A total of 15.2% of adolescent females and 4.4% adolescent males in high school reported a history of sexual abuse in childhood. Sexually abused adolescent females (27.8%) were more likely than adolescent males (14.9%) to achieve scores with high clinical levels of PTSD. Hierarchical logistic regression revealed that over and above the characteristics of the sexual abuse experienced, resilience factors (maternal and peer support) contributed to the prediction of symptoms of PTSD attaining the clinical threshold. Alternative intervention and prevention practices geared to adolescent victims of sexual assault are discussed.
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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 | 0.003 |
| 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 | 0.000 | 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".