Bibliographic record
Abstract
[From Introduction]Inherent in our constitutional right to a jury trial in criminal cases—for offences where imprisonment for five years or more is a possible sentence— is the right to have jurors who are our “peers” and “equals.” This right can be traced back to 1215 when King John signed the Magna Carta to make peace with the wealthy men of England.The route from the Magna Carta to Canadian criminal law in the early twenty-first century is long and convoluted, and extra twists and turns are added when we consider the use of juries in Canada’s North. Here, where the effects of colonialism are still felt on a daily basis, and where communities from which a jury might be drawn sometimes number only a few hundred persons, the ability to obtain a jury comprised of “the peers” of our clients, who are usually Indigenous, can be challenging and sometimes difficult. In this article I offer my perspective, as a practising criminal defence lawyer in the Northwest Territories, on the challenges we face in trying to obtain juries that truly represent the communities from which our clients originate. ... ...More
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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 | 0.059 | 0.112 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| 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".