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Record W1976435473 · doi:10.7202/042673ar

La Loi sur les connaissements, les reçus et les cessions de biens en stock : quelques problèmes substantiels

2005· article· en· W1976435473 on OpenAlexaffvenueabout
Robert Demers

Bibliographic record

VenueLes Cahiers de droit · 2005
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicLaw, logistics, and international trade
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsCreditorLawPledgeLegislaturePolitical scienceStatuteLoanJurisprudenceLegislationEconomicsDebtFinance

Abstract

fetched live from OpenAlex

The recent adoption of An Act respecting the transfer of property in stock has raised once again the controversy on the exact nature of the rights acquired by the holder of a bill of lading and a warehouse receipt. This problem is a familiar one for the specialist in banking law who well knows the endless contradictions concerning the interpretation of article 178 of the Bank Act. In this instance, the provincial legislature wished to give to quasi-banks (credit unions) the same possibility of securing loans as that afforded to banks under federal legislation. By a rather clever set of new rules added to the provincial Bills of Lading Act, this result is attained and is predicated on the idea that the creditor obtains full title of ownership on the goods ceded to him in the contract of loan. However, even in common law jurisdictions, the complete transfer of title is rarely admitted in such transactions and in codifying this dubious interpretation of case law, the legislature is perhaps not simplifying an already muddled area of our private law. Viewed in a historical perspective, Quebec law on this subject tends to reconcile the rights of the endorsee with those of civil law institutions, i.e. pledge. One hundred years of jurisprudence stands to that effect, until the '50s, where common law ideas seem to have taken hold of the courts. The result is of course a little bewildering and the student of our laws must gather together all of his patience in the study of this area already described early in the century by Mignault as being a Chinese brain-teaser.

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)0.020
metaresearch head score (Gemma)0.043
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: Other · Consensus signal: none
Teacher disagreement score0.446
Threshold uncertainty score0.887

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.043
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.006
Science and technology studies0.0150.085
Scholarly communication0.0240.025
Open science0.0050.007
Research integrity0.0130.015
Insufficient payload (model declined to judge)0.0160.003

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 head0.024
GPT teacher head0.255
Teacher spread0.231 · 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
GenreOther

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
Published2005
Admission routes3
Has abstractyes

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