Of Lodestars and Lawyers: Incorporating the Duty\nof Loyalty into the Model Code of Conduct
Bibliographic record
Abstract
The "conflicts quartet" ofcases decided by the Supreme Court of Canada can be understood as part of a long-standing tension in Anglo-Canadian jurisprudence between two competing conceptions of a lawyer's professional identity In the most recent of these cases, C.N. Railway v. McKercher, the Supreme Court conclusively preferred the loyalty-centred conception of the practice of law over the entrepreneurial conception. While the Federation of Law Societies of Canada amended its Model Code of Professional Conduct in 2014 in response to the Supreme Court's decision in McKercher, this article argues that those amendments did not go far enough. The authors propose a more substantial set of modifications to the Model Code to better entrench the duty of loyalty as a foundational principle of legal ethics. These amendments, they argue, would better reflect the reasoning in McKercher and would provide lawyers with a lodestar to guide their ethical judgement
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".