Book Review of Alex M. Cameron, Power Without Law: The Supreme Court of Canada, the Marshall Decisions, and the Failure of Judicial Activism
Bibliographic record
Abstract
Alex Cameron’s book, Power Without Law, is a scathing critique of the Supreme Court of Canada’s 1999 decisions in R. v. Marshall upholding Donald Marshall Jr.’s Mi’kmaq treaty claim. Cameron’s book has attracted a lot of attention because of the author’s position as Crown counsel for the government of Nova Scotia.2 Cameron was not involved as a lawyer in the Marshall case itself. As a fisheries prosecution, Marshall was a matter of federal jurisdiction pursuant to s. 91(12) of the Constitution Act, 1867,3 and Nova Scotia chose not to intervene. However, Cameron did become involved in a subsequent case dealing with the same series of treaties but different accused, R. v. Stephen Marshall; R. v. Bernard,4 which involved logging and was thus a matter of provincial jurisdiction. Cameron, who had been a staff lawyer in the civil litigation section of the Nova Scotia Department of Justice, was appointed as a Crown attorney (co-counsel) in the Public Prosecution Service (PPS) for the purposes of the appeals in the Stephen Marshall case. It was that involvement that brought Cameron to the view that the Supreme Court of Canada had wrongly decided the 1999 Marshall case, (8) and ultimately to write the book.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.033 | 0.012 |
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".