Aspects of Parent–Child Interaction from Infancy to Late Adolescence are Associated with Severity of Childhood Maltreatment through Age 18
Bibliographic record
Abstract
Childhood maltreatment (CM) is a pervasive public health problem worldwide, with negative health consequences across the lifespan. Despite these adverse outcomes, identifying children who are being maltreated remains a challenge. Thus, there is a need to identify reliably observable features of parent–child interaction that indicate risk for CM and that can instigate strategically targeted family supports. The aim of this longitudinal study was to assess multiple aspects of observed mother–child interaction from infancy to late adolescence as risk indicators of the overall severity of CM by age 18. Mother–child dyads were assessed in infancy (N = 56), at age 7 years (N = 56), and at age 19 years (N = 56/110). Severity of CM through age 18 was indexed by combined prospective and retrospective assessments. Interactions associated with severity of CM by age 18 included maternal hostility in infancy, maternal withdrawal in infancy and middle childhood, child disorganized attachment behavior in middle childhood and late adolescence, as well as hostile and role-confused interactions in late adolescence. This study identifies new indices of maternal and child behavior as important risk indicators for the severity of CM. These indices could be used to improve early identification and tailor preventive interventions for families at risk for CM.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".