Evidence: A Canadian Casebook, 3rd Edition
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Designed to meet the needs of second-year and third-year courses in evidence, the third edition of Evidence: A Canadian Casebook investigates the rules and principles that govern how facts are established in legal proceedings. The author team, consisting of well-respected scholars from a number of Canadian law schools, has developed a casebook that sets itself apart from other resources by weaving a single case study — inspired by an actual murder prosecution — throughout the entire text. At the end of each chapter, the authors introduce new developments in the case study, and students are asked to apply what they have just learned to solve problems that emerge in the course of that case. As students work through this unique text, they will become familiar with the case study and invested in solving the evidence problems it poses. Additionally, the third edition of Evidence: A Canadian Casebook will help instructors bridge the gap between evidence law in theory and in practice, giving students a deeper sense of the methodology that informs all evidence analysis.\nThe third edition reflects new developments in evidence law in Canada, including the Supreme Court of Canada’s latest decision on the principled approach to hearsay, the streamlining of the treatment of confessions and improperly obtained evidence, and the Supreme Court of Canada’s reinterpretation of section 24(2) of the Charter. Other cases added are F.H. v. McDougall, (2008), in which the Supreme Court addresses credibility and the civil standard of proof; and R. v. J.H.S., (2008), in which the Supreme Court revisits credibility in criminal cases where an accused testifies. These cases are presented with insightful commentary by the authors, offering students a compelling introduction to the subject of evidence.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 0.003 |
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 it