Childhood Maltreatment and Educational Outcomes
Bibliographic record
Abstract
Children (0-18 years) with maltreatment histories are vulnerable to experiencing difficulties across multiple domains of functioning, including educational outcomes that encompass not only academic achievement but also mental well-being. The current literature review adopted Slade and Wissow's model to examine (1) the link between childhood maltreatment and academic achievement, (2) the link between childhood maltreatment and mental health outcomes (i.e., emotional and behavioral difficulties), and (3) the bidirectional relationship between childhood academic achievement and mental health. In addition, we reviewed variables that might influence or help explain the link between childhood maltreatment and educational outcomes, drawing on developmental perspectives and Bronfenbrenner's ecological model. Finally, whenever possible, we presented findings specific to maltreated children in out-of-home care to highlight the unique challenges experienced by this population. Results indicated that children with maltreatment histories often experience impairments in both their academic performance (e.g., special education, grade retention, lower grades) and mental well-being (e.g., anxiety, low mood, aggression, social skills deficits, poor interpersonal relationships). These impairments appeared to be particularly pronounced among maltreated children in out-of-home care. Findings, albeit sparse, also indicated that mental health difficulties are negatively associated with children's academic achievement and, similarly, that academic achievement deficits are linked with mental health problems. The link between childhood maltreatment and educational outcomes may be partly explained through the disruption of key developmental processes in children, such as attachment, emotion regulation, and sense of agency. As well, maltreatment characteristics and the functioning of various systems in which children are embedded (e.g., family, school, child welfare) can serve to positively or negatively influence the educational outcomes of maltreated children. The theoretical, research, and applied implications stemming from the findings are considered.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".