The relationship between child maltreatment and axis I mental disorders: A summary of the published literature from 2006 to 2010
Bibliographic record
Abstract
Research has indicated that child maltreatment is associated with an increased likelihood of mental disorders and suicidal ideation and attempts that continues into adulthood. The purpose of this paper is to provide a synopsis of the recent published research from 2006 to 2010 on the association between child maltreatment and Axis I mental disorders and suicidal ideation and attempts. The databases MEDLINE and PsycINFO were searched for relevant and high quality citations up to October 2010. The results indicated that all types of child maltreatment examined are linked to reduced mental health. A general noted trend in the literature is that earlier age of onset of child maltreatment is associated with poorer mental health outcomes. Sex differences do exist with some disorders being more likely among males (e.g., anti-social behaviour) and other more likely among females (e.g., depression, PTSD, substance use disorders) following child maltreatment.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.019 | 0.025 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".