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Record W3154848296 · doi:10.1017/s0069005800009024

Four Flaws: Reflections on the Canadian Approach to Private International Law

2007· article· en· W3154848296 on OpenAlexaffvenueabout
Nathan Hume

Bibliographic record

VenueCanadian Yearbook of international Law/Annuaire canadien de droit international · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicConflict of Laws and Jurisdiction
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsLawConflict of lawsInternational lawPolitical scienceJurisprudencePublic international lawPrivate lawPublic lawTerminologyConsistency (knowledge bases)Comparative lawFederalismCLARITYConstitution

Abstract

fetched live from OpenAlex

Summary This article traces the evolution of the Canadian approach to private international law from Morguard Investments Ltd. v. De Savoye to Castillo v. Castillo and identifies four major flaws that have significant implications for both private international law and Canadian federalism: (1) ambiguous and inconsistent terminology that undermines the conceptual foundation of this approach while obscuring its potential impact; (2) the Court’s use of American conflict of laws jurisprudence to reinforce a deferential orientation in Canadian private international law; (3) the Court’s vision of the international order and understanding of public international law, which has begun to affect the Canadian federal system; and (4) the model of the Canadian Constitution employed in these cases, which may have broad negative consequences for provincial interests. The article argues that these flaws are remediable, that both constitutional text and recent opinions contain resources useful to this end, and that, however the Court decides to address these problems, subsequent iterations of the Canadian approach to private international law should emphasize clarity, consistency, and comprehensiveness.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.979
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.030
GPT teacher head0.295
Teacher spread0.265 · 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

Citations2
Published2007
Admission routes3
Has abstractyes

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