Bibliographic record
Abstract
The confessions rule—the requirement that the Crown prove the voluntariness of the accused’s statements to persons in authority—is a well-established rule of criminal evidence and is closely connected with the constitutional principle against self-incrimination that it structures. The confessions rule is thus a natural candidate for recognition as a principle of fundamental justice under section 7 of the Canadian Charter of Rights and Freedoms. However, there are two distinct routes by which the confessions rule might be constitutionalized. Under the “rule of evidence” approach, the confessions rule would be recognized as an aspect of the accused’s constitutional right to a fair trial. Under the “rights violation” approach, the conduct of the state in obtaining an involuntary statement would be treated as a violation of the accused’s constitutional rights. In R. v. Singh, despite having previously adopted the “rule of evidence” approach, the Supreme Court of Canada applied the “rights violation” approach and linked the confessions rule very closely to the constitutional right to silence. In so doing, the Court conflated the distinct protections offered by the right to silence on the one hand and the confessions rule on the other, particularly when Singh is read in light of other recent cases that appear to weaken the confessions rule. Fortunately, the Court’s recent decisions concerning the confessions rule may also be read as instances of appellate deference to trial judges’ factual findings on voir dires. Thus, they leave room for the recognition that neither the right to silence nor the confessions rule is reducible to the other, and that each has a distinct role to play: the right to silence protects the accused’s decision to speak at all, while the confessions rule concerns the accused’s motivations for speaking as he or she did.
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 | 0.010 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.009 | 0.016 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.012 | 0.015 |
| 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".