Substantiated Reports of Child Maltreatment from the Canadian Incidence Study of Reported Child Abuse and Neglect 2008: Examining Child and Household Characteristics and Child Functional Impairment
Bibliographic record
Abstract
OBJECTIVE: Identifying child and household characteristics that are associated with specific child maltreatment types and child functional impairment are important for informing prevention and intervention efforts. Our objectives were to examine the distribution of several child and household characteristics among substantiated child maltreatment types in Canada; to determine if a specific child maltreatment type relative to all other types was associated with increased odds of child functional impairment; and to determine which child and household characteristics were associated with child functional impairment. METHOD: Data were from the Canadian Incidence Study of Reported Child Abuse and Neglect (collection 2008) from 112 child welfare sites across Canada (n = 6163 children). RESULTS: Physical abuse, sexual abuse, and emotional maltreatment were highly prevalent among children aged 10 to 15 years. For single types of child maltreatment, the highest prevalence of single-parent homes (50.6%), social assistance (43.0%), running out of money regularly (30.7%), and unsafe housing (30.9%) were reported for substantiated cases of neglect. Being male, older age, living in a single-parent home, household running out of money, moving 2 or more times in the past year, and household overcrowding were associated with increased odds of child functional impairment. CONCLUSIONS: More work is warranted to determine if providing particular resources for single-parent families, financial counselling, and facilitating adequate and stable housing for families with child maltreatment histories or at risk for child maltreatment could be effective for improving child functional outcomes.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.010 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 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".