Judging Sexual Assault Trials: Systemic Failure in the Case of Regina v Bassam Al-Rawi
Bibliographic record
Abstract
The recent decision to acquit a Halifax taxi driver of sexual assault in a case involving a very intoxicated woman, who was found by police in the accused’s vehicle unconscious and naked from the breasts down, rightly sparked public criticism and consternation. A review of the trial record in Al-Rawi, including the examination and cross-examination of witnesses, the closing submissions of the Crown and defence counsel, and the trial judge’s oral decision suggests a failure of our legal system to respond appropriately to allegations of sexual assault - a failure for which, the author argues, both the trial judge and legal counsel may bear some responsibility. Arguably, in addition to the many legal errors of the trial judge, both the Crown and defence counsel in this case also contributed to the problematic outcome in Al-Rawi. For example, defence counsel introduced evidence that the complainant had flirted and danced inappropriately earlier in the evening on the night of the incident. The theory of the defence appears to have been that the complainant, when she consumes alcohol, becomes the “type of person” who flirts and dances inappropriately with men in bars, and can reasonably be inferred to have entered a taxi, stripped her urine soiled clothes off, thrown them at the unknown driver, perhaps kissed or licked his face, and then propped up her legs in the straddle position minutes or seconds before passing out. The Crown did not object when defence counsel introduced this evidence, which arguably should have been excluded under Canada’s rape shield regime; nor did he, in his closing, urge the trial judge to ensure that it not be relied upon to draw stereotypical inferences about women, alcohol, and sex.
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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 | 0.197 | 0.376 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.016 | 0.019 |
| Scholarly communication | 0.019 | 0.011 |
| Open science | 0.005 | 0.011 |
| Research integrity | 0.033 | 0.029 |
| Insufficient payload (model declined to judge) | 0.003 | 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".