Prediction of Sexual, Emotional, and Physical Maltreatment and Mental Health Outcomes in a Longitudinal Cohort of 290 Adolescent Women
Bibliographic record
Abstract
A longitudinal study of 290 Canadian females measured factors at ages 3, 6, 9, and 13 that predicted emotional, physical, and sexual maltreatment occurring up to the age of 16. Significant factors predicting maltreatment were early neurological status and difficult temperament, cognitive status, maternal stress, chronic poverty, negative family climate, weak bonding, and family disruption. There was complex interplay between these factors in predicting both maltreatment status and poor mental health at age 17. Sexual abuse retained a significant link with emotional (but not conduct) problems when effects of physical and emotional abuse were controlled for. Adolescents with a combination of prolonged rather than brief sexual abuse combined with other types of abuse, with a background of family disruption and poverty, and child's impaired coping skills (reflecting poorer cognitive capacity and central nervous system problems) were most likely to have markedly impaired emotional functioning at age 17.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".