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Record W2795462720 · doi:10.11575/prism/34056

Help Wanted: Judges

2006· article· en· W2795462720 on OpenAlexaboutno aff
Peter Bowal

Bibliographic record

VenuePRISM (University of Calgary) · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Education and Practice Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

Today, the only formal qualification to be a judge in Canada, other than one in Citizenship Court (to which this article does not apply), is to have first been qualified as a "barrister or advocate" (i.e., a lawyer) for at least ten years in "any province". This quirky minimum eligibility legislation is not intended to exclude lawyers who do transactional work (solicitors) or who are licensed in one of the three territories. Some provinces require judges to be Canadian citizens. The next stage is review by the regional Independent Advisory Committee in which the applicant resides. Each of these 16 Committees consists of seven judges, lawyers, and lay citizens appointed by the Law Society, Canadian Bar Association, the Chief Justice of the province, the Attorney General of the province, and the federal Justice Minister. The members of this Advisory Committee are identified on the Commissioner's website. While this Committee process is confidential, apparently extensive consultations in both the legal and non-legal communities are undertaken for each judicial applicant. A Committee assessment is reached and each applicant is placed into one of the following categories: "recommended," "highly recommended," or "unable to recommend" for appointment. Recognizing the advisory nature of this Committee process, these results are given to the federal Minister of Justice who is free to request more information, or a reassessment, and who may make any appointment to the bench. One expects that diversity is a political factor in such appointments that could override, or add to, the formal assessment. This Independent Advisory Committee process has been in place one and a half years. Of the 527 recommendations made by Committees, only a minority (44%) were recommended for appointment at all, and less than 12% were "highly recommended." About 16% of "highly recommended" or "recommended" applicants were appointed to judgeships. The statistics are as follows for the period November 1, 2004 to October 31, 2005:

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 imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.188
Threshold uncertainty score0.629

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.025
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0190.003
Scholarly communication0.0120.004
Open science0.0020.009
Research integrity0.0070.009
Insufficient payload (model declined to judge)0.1880.062

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.

Opus teacher head0.018
GPT teacher head0.265
Teacher spread0.247 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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".

Quick stats

Citations0
Published2006
Admission routes1
Has abstractyes

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