Justification De La Violence Envers L'enfant Chez Des Mères Victimes De Violence Conjugale
Bibliographic record
Abstract
This study deals with a major social problem, parental violence towards children. It aims to determine whether justification of violence towards children is associated with the use of parental violence in a population at high risk for child abuse. The participants in the study were 41 mothers between the ages of 24 and 46, recruited through a shelter for women who are victims of domestic violence. Results indicate a specific relationship between justification of violence and use of violence towards children, independent of the predictive power of already known risk factors. Among the three dimensions of justification, tolerance appears to be the best predictor: a mother who expresses a higher level of tolerance of violence towards children is more likely to use violence towards her own child. Results of the present study also reflect the already reported high concurrent rates between child abuse and domestic violence. However, contrary to what could be expected, our results reveal that women who suffer the most severe violence from their partners are the ones who use the least severe violence against their children. In all, these results reflect the complexity of the relationship between domestic violence and child abuse.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 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".