Why are Canadian Police Chiefs Refusing to Accept Military Sexual Assault Cases?
Bibliographic record
Abstract
Imagine that police forces across Canada got to pick and choose which criminal offences they would be willing to investigate. This would seem unconscionable. And yet, when it comes to alleged sexual assaults by members of the Canadian military, some police chiefs in Canada apparently believe they do have that choice.\nLast November, Minister of Defence Anita Anand accepted the recommendation of former Supreme Court of Canada justice Louise Arbour to temporarily remove shared jurisdiction over sexual offences from Canada’s military justice system. This week, as part of her final report reviewing the problems of sexualized violence in the Canadian military, Ms. Arbour recommended that this removal of jurisdiction be permanent. Instead of improving efficiency, morale and discipline, the 20-plus years during which the military’s justice system has been handling some sexual offences on its own have only made things worse.
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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 | 0.005 | 0.036 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.032 | 0.009 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.005 | 0.003 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.018 | 0.002 |
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".