Bibliographic record
Abstract
the other in an estimated 461,000 households, which represents 37 % of all households with spousal violence in the five-year period preceding the survey. • In cases where children witnessed spousal violence, they were more likely to witness assaults against their mothers (70%) than against their fathers (30%), and assaults involving mothers tended to be more serious. Over half of the female victims in these cases feared for their lives. • Adult victims of spousal violence were more likely to seek help from the police or from social services when children witnessed the violence than when no children were present. • During the one-year period ending March 31, 2000, an estimated 57,200 women together with 39,200 children were admitted to 448 shelters across Canada, the majority fleeing violence at home. Three-quarters of these children were under 10 years of age. • According to the National Longitudinal Survey of Children and Youth, children who were exposed to adults or teenagers physically fighting in the home were less likely to have positive or effective interactions with their parents than other children. They were also more likely to be living in households with low family functioning and high parental depression. • Witnessing family violence is also linked to negative behaviour in children. Children who are exposed to
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.404 | 0.185 |
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".