The Chambers List Is Long Today and Every Day: A Qualitative Exploration of the Potentiality of Person-Centred Justice in Vancouver’s Supreme Court of British Columbia
Bibliographic record
Abstract
Abstract By drawing on civil chambers court observation data collected in the Vancouver Supreme Court of British Columbia, this article explores the relationship between institutional court practices and the emerging concept of person-centred justice. Despite some efforts at procedural reform, superior trial courts have been resistant to change, and access to justice challenges around cost, accessibility and complexity are stubbornly persistent. Rather than fulfilling normative visions of substantive and equal justice, several arguments and empirical studies build a compelling case that formalistic adjudicative venues such as the Supreme Court of British Columbia are vulnerable to reinforcing existing societal inequalities. Do the principles of person-centred justice—that promise to enable effective participation and engagement in justice processes—hold the answer to unlocking transformative institutional change? By engaging in a qualitative analysis that illuminates how time (or lack thereof) and relational proximity shapes institutional practices and resource distribution in Vancouver’s civil chambers courts, this article offers an initial foray into understanding what person-centricity might mean in an environment with deeply embedded institutional and epistemic practices traditionally dominated and captured by justice system professionals. By introducing qualitative evaluation of institutional practices in the civil courts of the Supreme Court of British Columbia, this article extends early conceptual debates about person-centred justice. This article further highlights the formidable challenges we face in embedding new social practices into relationally and materially unequal terrains.
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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 | 0.008 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.030 | 0.024 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".