Issue 1: Explaining the Economic Disparity Gap in the Rate of Substantiated Child Maltreatment in Canada
Bibliographic record
Abstract
Children from families living in conditions of economic hardship are at five times greater risk of substantiated harm of child abuse and neglect compared to their upper socioeconomic counterparts in the United States. This difference in risk across economic groups is referred to as the economic disparity gap in child maltreatment. Little is known about how the economic disparity gap functions in Canada. The purpose of this study is to understand the prevalence of economic hardship in the child welfare system and explain the economic disparity gap. We used the Canadian Incidence Study of Reported Child Abuse and Neglect, 2008 (CIS-2008) that collected worker reported data on investigations (n = 15,980) from 112 Canadian child welfare sites. In 2008, economic hardship was noted as a concern for 13% of all families investigated. The rate of maltreatment substantiation was greater for children in families with economic hardship (80%) compared to children without economic hardship (51%). The unadjusted risk ratio (RR) for substantiated maltreatment was 1.49 (reference group = children not experiencing economic hardship), CI [1.46 – 1.52]; regression-adjusted RR was 1.21, CI [1.16 – 1.24]. Of the 29-percentage point economic disparity gap in substantiated maltreatment, decomposition analysis showed that 69% (i.e., equivalent to 20 percentage points) was explained by differences in covariates. Caregiver risk factors such as substance use, mental health, and social/historical factors such as having been a victim of domestic violence or past placement in foster care, accounted for most of that difference. Closing the large economic disparity gap requires new interdisciplinary policies and programs.
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How this classification was reachedexpand
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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".