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Record W2765463032 · doi:10.60082/2563-8505.1352

Another One Bites the Dust! Bolstered Law Offices and a Blocked Taxman in Chambre des notaires du Québec

2017· article· en· W2765463032 on OpenAlexaboutno aff
Amy Salyzyn

Bibliographic record

VenueSupreme Court law review · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicTaxation and Legal Issues
Canadian institutionsnot available
Fundersnot available
KeywordsCharterLawPrivilege (computing)Supreme courtGovernment (linguistics)Political scienceState (computer science)Independence (probability theory)SociologyPhilosophyComputer science

Abstract

fetched live from OpenAlex

In Canada (Attorney General) v. Chambre des notaires du Québec the Supreme Court once again vigorously defended a lawyer’s obligation to preserve confidential client information. The Court’s recent interest in solicitor-client privilege is significant. Since 2006, the Court has heard at least 10 cases dealing with solicitor-client privilege, about the same number it heard during that period related to each of sections 15 and 2(b) of the Canadian Charter of Rights and Freedoms (“Charter”). The Court’s language in these cases reinforces the perception that the Court views solicitor-client privilege as extraordinarily important. Among other things, the Court has described solicitor-client privilege as “one of the most ancient and powerful privileges known to our jurisprudence” and as having an “importance…to our justice system [that] cannot be overstated.”

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)0.001
metaresearch head score (Gemma)0.003
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: Empirical · Consensus signal: none
Teacher disagreement score0.967
Threshold uncertainty score0.315

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0400.007
Scholarly communication0.0060.003
Open science0.0020.002
Research integrity0.0100.013
Insufficient payload (model declined to judge)0.0110.001

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.

Opus teacher head0.042
GPT teacher head0.259
Teacher spread0.216 · 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
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
Published2017
Admission routes1
Has abstractyes

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