Trauma-Related Symptoms in Neglected Preschoolers and Affective Quality of Mother-Child Communication
Bibliographic record
Abstract
This study (a) assessed whether child neglect is associated with posttraumatic stress disorder (PTSD) and dissociative symptoms in the preschool period and (b) examined the role of quality of mother-child affective communication in the development of trauma-related symptoms among neglected children. Participants were 33 neglected and 72 non-neglected preschoolers (mean age = 60 months). Neglected children were recruited from the Child Protection Agencies. Neglected and non-neglected children victims of other form of abuse were excluded from the study. Trauma symptoms were evaluated through mother and preschool teacher reports. Quality of mother-child affective communication was assessed in a lab visit during an unstructured task. According to teachers, neglected children displayed more PTSD and dissociative symptoms than non-neglected children. Quality of mother-child communication was lower in neglected dyads. Mother-child affective communication predicted teacher-reported child trauma symptomatology, over and above child neglect. Discussion focuses on the traumatic nature of child neglect and the underlying parent-child relational processes.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".