Administering Justice and Serving the People: The Tension between the Objective of Judicial Efficiency and Informal Justice in Canadian Access to Justice Initiatives
Bibliographic record
Abstract
Canada has a complex system of courts that seek to serve Canadians in view of the traditional objectives of civil justice – principally accessibility, efficiency, fairness, efficacy, proportionality and equality. The Canadian court system is generally considered by its users to work well and to have legitimacy. Yet, researchers have found that ‘there is a tendency for people involved in a civil case to become disillusioned about the ability of the system to effect a fair and timely resolution to a civil justice problem’. This article will discuss the ways in which reforms of procedural law and civil justice have originated and continue to be made throughout Canada, both nationally and provincially, as well as the trends and influences in making these reforms. With hundreds of contemporary procedural reforms having been discussed, proposed and/or completed since the first days of Canadian colonisation on a national basis and in the Canadian provinces and territory, providing a detailed analysis will prove challenging. This article will nonetheless provide a review of civil justice and procedural reform issues in Canada, focusing principally, at the provincial level, on the systems of Ontario and Quebec. Importantly, I will seek to reconcile the increasing willingness to have an economically efficient civil justice and the increased power of judges in managing cases, with our court system’s invasion of ADR and its prioritisation of informal modes of adjudication.
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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 | 0.009 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.030 | 0.035 |
| Scholarly communication | 0.016 | 0.005 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".