“The Life of a Reserve”: How Might We Improve the Structure, Content, Accessibility, Length Timeliness of Judicial Decisions?
Bibliographic record
Abstract
This thesis explains how judicial decisions may impact access to justice and how might we make decisions a better source of data while also making them more timely, concise, accessible, and consistent. It examines the historical and theoretical underpinnings of Canadian decisions and the relationship of decision-writing to decision-making. It then discusses the results of an original empirical study of the evolution of British Columbia trial decisions over the last forty years and a survey of Canadian courts. It argues that the current process for writing and issuing Canadian judicial decisions likely does not further the goals of access to justice and may even hinder them. To improve access to justice, it suggests that governments, academics, and judiciaries should rely on human-centered design to design standardized structures and templates for decisions, and it provides a design plan for such reforms and examines the ways judicial independence may impact such reforms.
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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 | 0.036 | 0.138 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.010 | 0.021 |
| Scholarly communication | 0.016 | 0.019 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.013 | 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 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".