Exposure to Intimate Partner Violence in Children Aged 6 Months to 8 Years: Factors Associated with Mothers' Awareness of Children's Exposure to This Violence
Bibliographic record
Abstract
Early childhood exposure to intimate partner violence (EIPV) is a serious social and public health matter. Parents underestimate EIPV in comparison to their own victimization of intimate partner violence (IPV). However, few studies have attempted to compare the differences between the child's EIPV and the IPV victimization from the mothers' perspective and document the associated explanatory factors. Consequently, this study was conducted on a representative sample of 2046 children aged 6 months to 8 years in Quebec (Canada) to estimate the prevalence of EIPV and mother's awareness of EIPV over the past 12 months and to investigate factors that are associated with mother's awareness of EIPV. Findings revealed that 11.1% of young children were exposed to at least one form of IPV. However, that proportion decreases to 5.9% when the mother is asked whether the child is aware or a witness of the violence. Regression analyses revealed that child's younger age, mother's depressive symptoms, being a single parent, and the presence of adults' violent behaviors toward children were significantly associated with the mother's higher perceived awareness of EIPV. While some of these findings are consistent with previous studies, others such as living in a single-parent family open the door to different interpretations, including the presence of increased postseparation violence. As EIPV is increasingly recognized as affecting children regardless of their awareness of violent events, further studies are needed to better understand the context facilitating parental recognition of this exposure.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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".