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Record W2883784538 · doi:10.60082/2817-5069.3261

Cross-Border Transfers of Court Proceedings

2018· article· en· W2883784538 on OpenAlexvenueaboutno aff
Vaughan Black

Bibliographic record

VenueOsgoode Hall law journal · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicConflict of Laws and Jurisdiction
Canadian institutionsnot available
Fundersnot available
KeywordsLawStatuteJurisdictionConflict of lawsChoice of lawPolitical scienceExclusive jurisdictionCompetence (human resources)Subject-matter jurisdictionOriginal jurisdictionEconomics

Abstract

fetched live from OpenAlex

The Court Jurisdiction and Proceedings Transfer Act might easily have been two statutes rather than one. There could have been a pair of uniform acts, one delineating the territorial competence of the provinces’ superior courts and the other implementing a regime for the cross-border transfer of court proceedings. After all, these two matters are neither logically interdependent nor especially tightly linked. Part 3 of the CJPTA, dealing with transfers of proceedings, is not confined to lawsuits where the initial court takes jurisdiction under Part 2. It applies regardless of whether the initial court bases its jurisdiction on the CJPTA or on some other legislation, such as a specialized family law statute. Indeed, it applies when the transferring court does not have territorial competence at all. While the matters dealt with, respectively, in Parts 2 and 3 of the CJPTA certainly fall within the broad domain of private international law, they are no more closely affiliated than other fields where the CJPTA’s progenitor, the Uniform Law Conference of Canada (“ULCC”), elected to deal with matters in discrete statutes. For example, the ULCC chose to address cross-border enforcement by drafting separate uniform acts dealing with recognition of (1) Canadian civil judgments, (2) foreign-country civil judgments, (3) international arbitral awards, (4) foreign subpoenas, (5) foreign maintenance and custody orders, (6) foreign child welfare orders, and (7) foreign judgments based on a contract containing an exclusive forum-selection clause. In short, the ULCC has not been in the habit of drafting sweeping, comprehensive uniform acts but rather has elected to advance in increments. It has been a splitter, not a lumper.

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)0.009
metaresearch head score (Gemma)0.036
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 score0.038
Threshold uncertainty score0.099

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.036
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0070.004
Scholarly communication0.0090.004
Open science0.0030.009
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.0300.006

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 head0.018
GPT teacher head0.382
Teacher spread0.364 · 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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