Bibliographic record
Abstract
The Supreme Court of Canada's decision in R. v. Handy provides a welcome restatement and rationalization of the law governing the admissibility of an accused person's prior bad acts (similar evidence). The court recognizes that evidence of prior bad acts is evidence of bad character. But the court clearly states that such evidence is not admissible for the purpose of showing that the accused has a bad character. Rather, evidence of prior bad acts will be admissible only if it has probative value with respect to a specific, identified, and live issue at the trial and if that probative value outweighs two kinds of prejudicial effects: its tendency to encourage the trier of fact to convict the accused for being a bad person and its tendency to confuse and prolong the trial.
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.
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 | 0.021 | 0.048 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.005 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.023 | 0.034 |
| Scholarly communication | 0.014 | 0.008 |
| Open science | 0.013 | 0.005 |
| Research integrity | 0.117 | 0.072 |
| Insufficient payload (model declined to judge) | 0.007 | 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".