Breaches, Bargains, and Exclusion of Evidence: Bringing The Administration of Justice Into Disrepute
Bibliographic record
Abstract
The test for both exclusion of evidence under section 24(2) of the Canadian Charter of Rights and Freedoms (Charter) and whether a sentencing judge may divert from a joint sentencing recommendation is ostensibly the same: whether the admission of evidence or imposing the proposed sentence “would bring the administration of justice into disrepute.” Despite this, jurisprudence illustrates a vast divergence in what constitutes disrepute: the onerous standard applied to divert from a joint sentencing submission is all but absent when exclusion of evidence is considered under the Charter. This article addresses this disparate treatment in two parts. First, we argue that courts have consistently misapplied section 24(2) since the Supreme Court of Canada’s decision in R. v. Grant, as determinations of evidence’s admissibility under this section have focused almost exclusively on the factors articulated to guide the analysis, rather than the ultimate question to be determined. Moreover, courts have interpreted the phrase “bring the administration of justice into disrepute” differently depending on context — a trend that ought not to continue. We posit that the disrepute standard ought to be interpreted and applied consistently, with the recognition that “bringing the administration of justice into disrepute” is an exceptionally high bar. Second, we hope to provoke a broader reliance on the generous remedial powers conferred in section 24(1) of the Charter. This shift — which the Supreme Court has hinted at in recent decisions — would significantly change the adjudication of constitutional issues in criminal proceedings. We hope that the framework we propose for interpreting section 24 will stimulate attention to the practical benefits of eschewing a one-size-fits-all approach to Charter remedies and instead adopting a principled method that responds to each case’s individual circumstances.
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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 | 0.047 | 0.087 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.029 | 0.106 |
| Scholarly communication | 0.031 | 0.015 |
| Open science | 0.006 | 0.018 |
| Research integrity | 0.024 | 0.026 |
| 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".