Emotion Dysregulation in Sexually Abused Preschoolers: Insights from a Story Completion Task
Bibliographic record
Abstract
Child sexual abuse (CSA) during the preschool period can seriously undermine children's ability to develop emotional competency. Narrative tasks, such as the MacArthur Story Stem Battery (MSSB), are particularly adapted to gain a better understanding of young children's self-regulation processes. To explore the emotion regulation competencies of sexually abused preschoolers, we developed a coding grid and undertook a detailed analysis of abused and non-abused children's narratives using the MSSB. A sample of 62 sexually abused and 65 non-abused preschoolers 3½ to 6½ years old was recruited and children were presented with nine stories and an expressive vocabulary test. Analyses were performed to compare abused and non-abused children's narratives and to assess the contribution of CSA to children's narratives. CSA was associated with fewer demonstrations of empathy, help, and comfort, and less coherent and resolved stories. The narratives of CSA victims also included less emotions and emotional variations. The influence of CSA appeared the strongest in the stories involving fear. These findings suggest the presence of emotion dysregulation among sexually abused preschoolers, but also insecure attachment, and a sense of betrayal, isolation, and powerlessness.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".