Historical child sexual abuse cases reported to the police by Indigenous adults in a northern Canadian territory: an exploration of factors affecting the likelihood of charges and convictions
Bibliographic record
Abstract
The current research examined historical child sexual abuse files from a northern Canadian police force, looking at factors pertaining to the offence, the complainant and the suspect, in an area with a large Indigenous population. The dataset analysed represented all reported cases (N = 229) of historical child sexual abuse by Indigenous complainants in the database of the participating force from 2005 to 2019. Analysis of all cases showed charges were more likely in cases with multiple complainants, female complainants and complainants 11–14 years old at the time of the abuse. For cases where charges were laid (n = 135), convictions were slightly more likely in cases with less serious offences. For trial cases (n = 75), multiple complainants, the relationship of suspect to complainant, age of suspect and age difference between complainant and suspect were significantly associated with trial outcome. Ethnicity of suspects showed no relationship to charges or convictions.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".