Finding Harmony: Law Society of British Columbia v Trinity Western University
Bibliographic record
Abstract
This case comment focuses on what the Supreme Court of Canada’s 2018 decision in Law Society of British Columbia v Trinity Western University tells us about how courts should review the discretionary decisions of administrative decision-makers for compliance with the Charter. The majority describes this as an application of the framework from Doré and Loyola, and I argue that the Court missed a chance to bring that framework into conceptual harmony with that from Oakes. The Court should be reluctant to use the framework of reasonableness and deference set out in Doré and Loyola when the decision-maker (the Law Society of British Columbia) fails to produce explicit written reasons for their decision. I also argue, though, that the Court didn’t actually defer to the Law Society. As a descriptive matter, I argue that the Court here used a correctness standard, albeit with a degree of deference and leeway akin to that used in the Oakes framework. As a normative matter, I argue that this is the correct approach, and that the court should highlight the conceptual harmony between the two approaches rather than allowing language of reasonableness and deference to obscure what courts are doing here. I conclude by presenting a path to harmonizing the approaches from Doré and Loyola with that from Oakes.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.029 | 0.007 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.008 | 0.010 |
| Insufficient payload (model declined to judge) | 0.007 | 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".