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Record W3154330720 · doi:10.71781/1806

La communication de la preuve civile au préalable dans les litiges commerciaux internationaux

2019· dissertation· fr· W3154330720 on OpenAlexaboutno aff
Élisabeth Lesage-Bigras

Bibliographic record

VenueOpen MIND · 2019
Typedissertation
Languagefr
FieldSocial Sciences
TopicCriminal Law and Evidence
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical sciencePhysicsPhilosophy

Abstract

fetched live from OpenAlex

Dans l’ère économique actuelle où les transactions commerciales, propulsées par l’omniprésence des technologies de l’information, se font de plus en plus à l’échelle mondiale, les risques de conflits juridiques de nature internationale augmentent considérablement. Les entreprises québécoises faisant plus fréquemment affaire avec des partenaires étrangers, les litiges d’aujourd’hui confrontent les parties et leurs représentants à des dilemmes légaux nouveaux qui les forcent à interagir avec des cultures judiciaires, autres que québécoises, et ce, particulièrement lors de la communication au préalable de la preuve civile. Nous nous pencherons donc sur l’analyse des divers enjeux légaux soulevés par ce processus afin de relever les considérations pratiques auxquelles seront soumises les parties à un conflit commercial international institué devant les tribunaux québécois. Ainsi, à l’aide d’un cas hypothétique, nous effectuerons l’étude des régimes procéduraux québécois, tant général que particulier, de communication de la preuve civile internationale, les restrictions applicables à la procédure ainsi que son encadrement supranational. Puis, nous étudierons l’impact des technologies de l’information sur le régime québécois de communication au préalable de la preuve civile en mettant l’accent tout particulièrement sur la dématérialisation de la preuve civile internationale, les changements législatifs de la réforme du Code de procédure civile et la protection des renseignements personnels.

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)0.006
metaresearch head score (Gemma)0.017
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 score0.389
Threshold uncertainty score0.774

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.008
Scholarly communication0.0080.003
Open science0.0010.004
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0170.002

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 head0.082
GPT teacher head0.416
Teacher spread0.334 · 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
Published2019
Admission routes1
Has abstractyes

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