Prediction of Sexual, Emotional, and Physical Maltreatment and Mental Health Outcomes in a Longitudinal Cohort of 290 Adolescent Women
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it