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Record W2951104639

PRIVILEGE ATTACHING TO CLAIMS ADJUSTERS' REPORTS: THE QUEBEC EXCEPTION

2004· article· en· W2951104639 on OpenAlexaboutno aff
Mathieu Bouchard

Bibliographic record

VenueThe Canadian Bar Review · 2004
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicLaw, logistics, and international trade
Canadian institutionsnot available
Fundersnot available
KeywordsPrivilege (computing)LawJurisdictionJurisprudencePolitical scienceCommon lawSociology
DOInot available

Abstract

fetched live from OpenAlex

This article reviews Quebec and Canadian law on privilege with regards to the work product of claims adjusters. The author focuses specifically on the unique situation that prevails in Quebec, the only jurisdiction in Canada with a blanket rule deeming adjusters’reports to be privileged as a matter of course. After a brief overview of the law of privilege and its rationale, the article demonstrates how the modern approach to litigation privilege has led courts throughout Canada to move away from earlier jurisprudence that prevented disclosure of claims adjusters reports and have embraced the “dominant purpose” test to determine on a case by case basis whether a report is indeed privileged. The author argues in favour of the adoption of this same rule by Quebec courts, considering that the principles governing litigation privilege in Quebec are the same as in Canada’s common law jurisdictions and that the “dominant purpose” test is applied in Quebec in every area except insurance law.

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)0.011
metaresearch head score (Gemma)0.032
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.084
Threshold uncertainty score0.611

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.032
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.004
Science and technology studies0.0120.011
Scholarly communication0.0120.003
Open science0.0030.003
Research integrity0.0080.005
Insufficient payload (model declined to judge)0.0050.001

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 head0.032
GPT teacher head0.253
Teacher spread0.220 · 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
Published2004
Admission routes1
Has abstractyes

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