Commentary: Child Maltreatment and Physical Health: A Call to Action
Bibliographic record
Abstract
The preceding section provides new and important information about the link between exposure to one or more types of child maltreatment and impairment that moves the field beyond the association with mental health problems. Despite differences in samples, measurement, and design, the message is consistent across these studies: child maltreatment is associated with a broad range of adverse physical health outcomes, as well as behaviors that increase risk for such outcomes. Using data from the Chicago Longitudinal Study (CLS), Topitzes, Mersky, and Reynolds (2010) examined the relationship between official reports of child maltreatment collected prospectively and self-report survey data of tobacco smoking by young adults, taking into account a broad range of mediators. In this sample of socially disadvantaged minority participants, official reports of child maltreatment predicted smoking in young adulthood in both genders. This relationship was mediated by several emotional, social, and cognitive factors in adolescence and young adulthood, as well as by school mobility.
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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 | 0.007 | 0.045 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.008 |
| Scholarly communication | 0.006 | 0.010 |
| Open science | 0.007 | 0.005 |
| Research integrity | 0.137 | 0.112 |
| Insufficient payload (model declined to judge) | 0.012 | 0.007 |
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".