Forms and correlates of child maltreatment among autistic children involved in child protection services
Bibliographic record
Abstract
Background: Child maltreatment is a significant social problem impacting both health and society, with severe and enduring consequences. Certain children, such as those with neurodevelopmental conditions like autism, may be more at risk of experiencing maltreatment. However, little research has examined the characteristics of these children. This study aimed to compare child maltreatment and child protection services experienced by autistic children to those of non-autistic children. Method: Drawing from a representative selection of verified cases of child abuse investigated by child protection services in Quebec, Canada, a sample of 1,805 substantiated child maltreatment cases were analyzed. Results: = 73) of children had child protection services-reported autism diagnoses. Attention-deficit (OR = 2.207) and attachment problems risk (OR = 2.899) were higher among autistic children compared to non-autistic children. They were more likely to be boys (OR = 5.747), and to present with an intellectual disability (OR = 11.987), but less likely to have previously been investigated by child protection services (OR = 0.722). Conclusion: These findings suggest that autistic children who have been maltreated are facing specific challenges that require protective interventions tailored to their specific needs.
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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 | 0.001 | 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 | 0.001 |
| 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".