Delayed Prosecutions of Historic Child Sexual Abuse: Analyses of 2064 Canadian Criminal Complaints.
Bibliographic record
Abstract
Recently, in many English-speaking countries, legal principles that had the effect of barring delayed criminal prosecutions have been abrogated. In these jurisdictions, criminal prosecutions of child sexual abuse that is alleged to have occurred in the distant past (historic child sexual abuse or HCSA) are a growing legal challenge. These cases raise myriad issues relevant to research and the development of public policy that would benefit from a considered exchange of ideas that is informed by a clear understanding of the phenomenon. Based on 2064 judicial decisions of Canadian criminal complaints of HCSA we describe the trial, the complainant, the accused, and the offence. In the context of these legal cases, we raise some of the germane issues as well as suggestions for future research and discussion that we believe are particularly current and pressing.
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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 | 0.003 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.015 | 0.020 |
| Science and technology studies | 0.013 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".