The Decline of Child Sexual Abuse in Canada: Evidence From the 2014 General Social Survey
Bibliographic record
Abstract
OBJECTIVE: To provide evidence of trends in child sexual abuse (CSA) in Canada. METHODS: Using data from 15,801 males and 18,669 females who responded to the 2014 General Social Survey (GSS), we compared the prevalence of CSA by age cohorts. Age cohort patterns were examined for several sub-populations including males, females, Indigenous peoples, and people living in low-income households. RESULTS: After an increase in the post-World War II period, there has been a decline in CSA in Canada since the early 1990s. Findings indicate a decline for both sexes; although, the evidence is more compelling for females. There is also evidence of a decline for Indigenous peoples, for those living in low-income households, and regardless of the relationship to the perpetrator (i.e., family member, a teacher/professor/tutor, a babysitter, a nanny, other non-family member but known to the respondent, or a stranger). CONCLUSIONS: In Canada, evidence from 3 retrospective population surveys suggests a decline in CSA since the early 1990s. However, given the associated harm, continued progress to the eradication of CSA is essential.
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.011 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".