Parliament''s Review of Judicial Appointments (Part 2 Q&A)
Bibliographic record
Abstract
Mr. Justice Marshall Rothstein made history this week by becoming the first nominee to the Supreme Court of Canada to appear before an all-party parliamentary committee to answer questions at a public hearing.Supporters of this change in process tout it as a move towards openness and accountability. But critics warn that it runs the risk of politicizing the nation's highest court.Who should have the final say on the constitutionality of legislation, Parliament or the courts?How relevant is the American experience of appointing Supreme Court judges?Speaker: Cameron D. MacLennan, B.Sc, LLB, LLMMr. MacLennan is a partner in the firm Huckvale, Wilde, Harvie, MacLennan, LLP, Lawyers and Mediators, Lethbridge. He has been an active member of the Law Society of Alberta since 1985, and the Virginia State Bar in the United States since 1992.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.539 | 0.004 |
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; both teacher heads agree on what is shown here.
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".