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Record W3125314535

The Hague Choice of Court Convention and the Common Law

2007· article· en· W3125314535 on OpenAlexaboutno aff
Vaughan Black

Bibliographic record

VenueSSRN Electronic Journal · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicConflict of Laws and Jurisdiction
Canadian institutionsnot available
Fundersnot available
KeywordsLawConventionStatutory lawCommon lawPolitical scienceTreatyLegislation
DOInot available

Abstract

fetched live from OpenAlex

The task of this report is to provide an assessment of the recently concluded Hague Convention on Choice of Court Agreements against the background of existing law on that subject in the common law provinces and the territories and also with respect to Canadian federal law. The report will offer a summary account of the Convention, a description of the ways in which it differs from existing law in common law Canada, some views on whether the scheme embodied in the Convention would represent an improvement on that existing law, and finally some recommendations as to whether the Convention should be adopted. With respect to this last matter it should be noted that (1) there is no other multilateral treaty on this subject under consideration, here or elsewhere, and (2) there are no other Canadian law reform projects under way that touch significantly on this area of the law. Accordingly, the choice to be made at this point would be whether to adopt the Convention (which would require implementing legislation at both the federal and provincial levels 2) or to do nothing and stick with the present regime, which is made up of judge-made standards supplemented by statutory rules of court and a smattering of other legislated provisions. If the former option – adoption of the Convention – were selected, then some additional decisions would need to be made with respect to six optional parts of the Convention. Section V of this report will offer specific analysis and recommendations with respect to those.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.556
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.304
Teacher spread0.293 · 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 teacher head, not a consensus.

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
Published2007
Admission routes1
Has abstractyes

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