The Prevalence of Sexual Abuse by K-12 School Personnel in Canada, 1997–2017
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Studies surrounding the sexual abuse of children by school personnel in Canadian contexts are infrequent and often limited in their scope. The present study addresses this drawback with a contribution of data gathered from disciplinary decisions of educator misconduct, media reports, and published case law concerning child/student sexual abuse cases (between 1997 and 2017) that involved any individual employed (or formerly employed) in a Canadian K-12 school. The study revealed a number of interesting points about the larger student victim and offender demographic patterns and characteristics across Canada. The study found 750 cases involving a minimum of 1,272 students and 714 offenders, 87% of which were male. Moreover, 86% of all offenders were certified teachers, and offenders employed grooming as the main tactic in 70% of the cases. Of the child/student victims, 75% were female, 55% were sexually abused on school property, and more than two-thirds of all victims were in high school at the time the offense was committed. The study also found that excluding Ontario and B.C., the media was the sole source of information for 50-86% of all cases depending on the province/territory. Finally, almost three-quarters of offenders from the study were charged with at least one criminal offense, and of the cases that proceeded to trial, 70% resulted in findings of guilt.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it