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Record W7155383729 · doi:10.60082/2817-5069.3960

Married by Default

2025· article· en· W7155383729 on OpenAlexaffvenueabout
Erez Aloni

Bibliographic record

VenueOsgoode Hall law journal · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicFamily Dynamics and Relationships
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsVisionTransformative learningCertaintyCohabitationConceptual frameworkRestitutionLaw reform

Abstract

fetched live from OpenAlex

This Article examines and critiques the global binary debate surrounding opt-in versus opt-out legal regimes for regulating unmarried cohabitants’ financial obligations upon separation. Using Canadian jurisdictions as a case study, it challenges the prevailing academic consensus that endorses opt-out systems as superior policy, based on assumptions that they are fairer, sufficiently preserve autonomy, enhance certainty, and particularly benefit women. Drawing on empirical research, the Article explores how couples engaged with British Columbia’s opt-out scheme. In-depth interviews suggest that default rules operate as quasi-mandatory, with opting out proving remarkably difficult. Moreover, the law often falls short of achieving the anticipated certainty and struggles to accommodate the diverse interests of women. The analysis cautions against transformative reforms to cohabitation law based on unexamined or overly broad assumptions and highlights shortcomings in the dominant binary policy debate between opt-in and opt-out models. Given these limitations, the Article evaluates various conceptual approaches for reform. While acknowledging the promise of bolder anti-exceptionalist visions departing from existing paradigms, it concludes that, at present, modest refinements to opt-out models are more feasible and offer viable pathways to engender incremental improvements.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.978
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

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

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 head0.010
GPT teacher head0.297
Teacher spread0.288 · 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
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

Citations0
Published2025
Admission routes3
Has abstractyes

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