Prevalence and co‐occurrence of violence against children in the Quebec population
Bibliographic record
Abstract
OBJECTIVE: A literature review on the incidence of different forms of child maltreatment revealed that rates in Australia and Quebec (Canada) were similar. This study sought to determine the prevalence and co-occurrence of various forms of violence (physical, sexual and psychological) and explore gender and age difference. METHODS: A telephone inquiry was conducted with a representative sample of 1,002 adults from the province of Quebec. RESULTS: More than one in three adults (37%) reported having experienced at least one of three forms of violence in childhood. Twelve per cent (12%) of the adults experienced two forms of violence while 4% of the respondents reported having experienced all three forms of violence in childhood. Psychological violence (22%) was the form most frequently reported, followed by physical violence (19%) and sexual violence (16%). The different prevalence rates did not vary as a function of age. However, regarding gender, women were more likely to report having been sexually victimised (rape and fondling) and less likely to report having experienced physical violence. A lower percentage of women reported having sustained no form of childhood victimisation and a higher percentage of women reported have experienced both sexual and psychological violence compared to men. CONCLUSION: These results, including both the global rates and those particular to each gender, are comparable to findings in similar North American studies. The co-occurrence rates noted are salient enough to necessitate particular attention to diverse clinical clientele and need to be considered in future research exploring the risk factors of violence and its subsequent repercussions.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".