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Record W2141784587 · doi:10.60082/2817-5069.1449

Relational Contract and Other Models of Marriage

2002· article· en· W2141784587 on OpenAlexaffvenueabout
Robert Leckey

Bibliographic record

VenueOsgoode Hall law journal · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicMulticultural Socio-Legal Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsObligationSupreme courtCompensation (psychology)Flexibility (engineering)Relational contractOrder (exchange)Law and economicsLawSocial contractPolitical scienceSociologyEconomicsSocial psychologyPsychologyPolitics

Abstract

fetched live from OpenAlex

This article proposes relational contract as a model for analyzing marriage under Canadian law. In contrast, in Bracklow v. Bracklow, the Supreme Court of Canada recognized two "competing" models of marriage and three models of spousal support. The difficult policy issues in the law of spousal support relate not to a tension between different models but instead go to compensation, including reliance and expectations. This article uses relational contract to critique Bracklow, considering the challenges in defining models. The Court's basic social obligation model and its non-compensatory support are unjustifiably broad, and its compensatory support is too narrow. In assessing the extent to which competing models give couples flexibility in customizing their relationships, the article discerns in Bracklow the emergence of new notions of public order in the sphere of marriage and a sense of not only procedural, but also substantive, justice.

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)0.004
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.135
Threshold uncertainty score0.269

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.003
Science and technology studies0.0070.020
Scholarly communication0.0070.007
Open science0.0020.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0100.001

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 head0.083
GPT teacher head0.294
Teacher spread0.211 · 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 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

Citations1
Published2002
Admission routes3
Has abstractyes

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