An Opportune Moment: The Judicial Appointment Reforms and the Judicial Credentials Demanded by the Charter
Bibliographic record
Abstract
In 2005, Minister of Justice Irwin Cotler proposed and tabled in Parliament a number of reforms to the federal judicial appointment process. These reforms were designed to increase the transparency and enhance the accountability of the procedures by which judges are appointed to federally operated Canadian courts, including the Supreme Court of Canada. Included in the reform package was a Code of Ethics for members of the judicial appointment committees, as well as a directive to publish on an annual basis the identity of the members of the judicial appointment committees, the number of total applications for judicial office, and the number of that total that have been recommended or highly recommended by the committee. Crucially, a set of guidelines for the operation of the judicial appointment committees was provided, which outlined the overriding principles that committee members were to consider during the appointment advisory process.
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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 | 0.051 | 0.103 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.023 | 0.018 |
| Scholarly communication | 0.022 | 0.010 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.014 | 0.027 |
| Insufficient payload (model declined to judge) | 0.006 | 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".