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Record W3125288761

Assumed Jurisdiction in Canada: Identifying and Interpreting Presumptive Connecting Factors

2018· article· en· W3125288761 on OpenAlexaffabout
Stephen G. A. Pitel, Vaughan Black

Bibliographic record

VenueSSRN Electronic Journal · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsDalhousie UniversityWestern University
Fundersnot available
KeywordsJurisdictionTortCause of actionFiduciaryStatutory lawLawDutyMisrepresentationCommon lawPlaintiffExclusive jurisdictionPolitical scienceAction (physics)BusinessLiability
DOInot available

Abstract

fetched live from OpenAlex

The common law of assumed jurisdiction in Canada now consists of judges interpreting and applying the presumptive connecting factors established for tort claims in Club Resorts Ltd v Van Breda and identifying and fleshing out the contours of presumptive connecting factors for claims other than tort. There is a pressing need for detailed analysis. While the presumptive connecting factor of a tort committed in the forum has been easy to apply in some cases, such as motor vehicle collisions, it has been much harder to apply in cases of defamation, misrepresentation, deceit and conspiracy. Beyond tort, presumptive connecting factors for certain causes of action such as breach of fiduciary duty, breach of confidence, or reversal of an unjust enrichment remain under-analysed. Little consensus exists on what aspects, if any, of these claims would constitute a sufficient connection for assumed jurisdiction. There are also important questions about how the presumptive connecting factor approach operates for several federal and provincial statutory causes of action, which differ in important ways from common law claims, and for assumed jurisdiction with respect to concurrent claims.

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)0.014
metaresearch head score (Gemma)0.053
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 score0.223
Threshold uncertainty score0.901

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.053
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.007
Science and technology studies0.0290.029
Scholarly communication0.0160.006
Open science0.0050.008
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.0040.000

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 head0.017
GPT teacher head0.299
Teacher spread0.282 · 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
Published2018
Admission routes2
Has abstractyes

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