Specific early maladaptive schemas differentially mediate the relations of emotional and sexual maltreatment to recent life events in youth with depression
Bibliographic record
Abstract
The current study provided a novel investigation of relations among particular types of childhood maltreatment (emotional vs. physical vs. sexual maltreatment), specific cognitive schema themes and the generation of dependent versus independent life events. Participants included 227 adolescents and emerging adults (74% female; aged 12-29) in a current episode of a unipolar depressive disorder drawn from three archival cross-sectional studies. Childhood maltreatment and life events from the past 6 months were assessed using detailed contextual interviews with independent, standardized ratings. Emotional maltreatment was uniquely associated with schema themes of emotional deprivation and subjugation, and sexual maltreatment was uniquely associated with schema themes of abandonment, vulnerability and dependence/incompetence. Further, subjugation and abandonment cross-sectionally mediated the relations of emotional and sexual maltreatment, respectively, to greater dependent, but not independent, life events. Physical maltreatment was not associated with cognitive schemas or recent life events after accounting for its overlap with emotional and sexual maltreatment. Results suggest targets for cognitive intervention that may improve outcomes for youth with specific histories of emotional and sexual maltreatment.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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".