Public-Centred Civil Justice Redesign: A Case Study of the British Columbia Civil Resolution Tribunal
Bibliographic record
Abstract
This article deals with the new British Columbia Civil Resolution Tribunal (“CRT”). First of its kind in the world, the CRT will focus on early online dispute resolution as a tool to improve access to justice in BC. The authors will begin by examining public access problems with the current civil justice system. They will then challenge some of the common assumptions underlying the status quo, with the aim of opening a dialogue about which facets of the civil justice system are foundational to the rule of law and which ones ultimately detract from it. The article will conclude by offering some principles of user-centred justice design, and illustrating them through their application to the CRT.
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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 | 0.007 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.049 | 0.014 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.005 | 0.008 |
| Research integrity | 0.008 | 0.009 |
| Insufficient payload (model declined to judge) | 0.010 | 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".