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Record W1034493188 · doi:10.1017/cbo9780511617706.016

Domestic Partnership and Default Rules

2006· book-chapter· en· W1034493188 on OpenAlexaboutno aff
Margaret F. Brinig

Bibliographic record

VenueCambridge University Press eBooks · 2006
Typebook-chapter
Languageen
FieldSocial Sciences
TopicConflict of Laws and Jurisdiction
Canadian institutionsnot available
Fundersnot available
KeywordsGeneral partnershipBusinessFinance

Abstract

fetched live from OpenAlex

The domestic partnership chapter of the Principles “both over-and undershoots its target.” That is, by assuming cohabitation and marriage were similar, but only legislating for the limited purpose of dissolution, the Principles create a default rule that few would want. As may be obvious from their title, the Principles do not attempt to directly influence ongoing family relationships. Thus, “In view of the scope of these Principles, Chapter 6 is limited to the following question: What are the economic rights and responsibilities of the parties to each other at the termination of their nonmarital cohabitation? Chapter 6 does not create any rights against the government or third parties.” Unprotected parties who would marry if they were able to (and for whom the chapter was presumably intended) would not get enough relief because there would be no protection upon death of one of them, nor is there a requirement of mutual support during the relationship. This stands in contrast to the Canadian rule, as Canadian law still enforces the duty to support during the “common law” relationship. Moreover, parties who did not want to get married but wanted to cohabit would find themselves with a set of responsibilities on dissolution that they did not want to assume; if they had wanted these responsibilities, they would have married. Contrast this with Norway, where about 25 percent of couples are unmarried, but “[u]nlike married couples, cohabiting couples have no legal responsibility to provide for each other.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.969
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.029
GPT teacher head0.248
Teacher spread0.219 · 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 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
Published2006
Admission routes1
Has abstractyes

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