MétaCan
Menu
Back to cohort
Record W4205190003 · doi:10.1017/cls.2021.42

The Attorney General, Politics, and the Public Interest: Contributions to an Evolving Constitutional Convention

2022· article· en· W4205190003 on OpenAlexaffabout
Michael A. Murphy

Bibliographic record

VenueCanadian Journal of Law and Society / Revue Canadienne Droit et Société · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicJudicial and Constitutional Studies
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsPolitical scienceLawConventionPublic interestDutyDiscretionNormativeObjectivity (philosophy)PoliticsConstitutionIndependence (probability theory)Transparency (behavior)Law and economicsSociologyPhilosophy

Abstract

fetched live from OpenAlex

Abstract The prosecutorial independence of the Attorney General (AG) is a firmly established constitutional convention in Canada, but it is also an evolving convention, subject to ongoing contestation and debate. This article is a contribution to that debate. It defends a normative constitutional framework wherein the AG’s authority to make final decisions in matters of criminal prosecution is balanced against a corresponding duty to consult with cabinet and the prime minister on the public interest implications of prosecutorial decisions when the circumstances warrant. Within this normative framework, respectful contestation and debate amongst ministers, the prime minister, and the AG in determining the public interest merits of prosecution is welcomed, even encouraged, and if conducted with the requisite integrity, objectivity, and transparency, it is regarded not as a threat but as a valuable check and balance on AG independence and an indispensable form of quality control on the exercise of prosecutorial discretion.

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)0.057
metaresearch head score (Gemma)0.041
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.710
Threshold uncertainty score0.576

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0570.041
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.004
Science and technology studies0.0190.112
Scholarly communication0.0430.014
Open science0.0040.009
Research integrity0.0200.022
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.027
GPT teacher head0.289
Teacher spread0.261 · 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 designTheoretical or conceptual
Domainnot available
GenreEmpirical

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
Published2022
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal of Law and Society / Revue Canadienne Droit et SociétéSame topicJudicial and Constitutional StudiesFrench-language works237,207