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Record W2513322953 · doi:10.29173/alr372

Covenant Marriage and the Conflict of Laws

2015· article· en· W2513322953 on OpenAlexvenueaboutno aff
Lily Ng

Bibliographic record

VenueAlberta Law Review · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicMulticultural Socio-Legal Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCovenantJurisdictionLawPolitical scienceSubject-matter jurisdictionState (computer science)LegislatureDeclarationChoice of lawSociologyOriginal jurisdiction

Abstract

fetched live from OpenAlex

Recently, three American stales introduced covenant marriage as a new form of marriage in response to the rising divorce rate. The author examines the threedistinguishing characteristics of covenant marriage that distinguish it from the current form of marriage offered in the United States and Canada. For the United States, the author canvasses the possibility of separating jurisdiction from choice of law. separating subject matter jurisdiction from personal jurisdiction, and recognition of the parties' intent, as three possible alternatives that non-covenant marriage states can utilize in order to respect the parties' intentions and the covenant marriage state's legislative intent. For Canada, the author canvasses the possibility that while Canada could take jurisdiction on the "ordinarily resident" basis, they may refuse jurisdiction on the basis of forum non conveniens or, alternatively, that they may apply the substantive law of the covenant marriage state on the basis that the Declaration of Intent signed by the parties represents an express choice of law clause.

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)0.007
metaresearch head score (Gemma)0.009
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 score0.188
Threshold uncertainty score0.374

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.005
Science and technology studies0.0060.016
Scholarly communication0.0050.003
Open science0.0020.003
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.077
GPT teacher head0.351
Teacher spread0.274 · 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

Citations2
Published2015
Admission routes2
Has abstractyes

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