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Record W2530012025 · doi:10.34961/8424

The devil in the detail: property division under British Columbia' s Family Law Act 2011

2016· article· en· W2530012025 on OpenAlexaboutno aff
Kathryn O’Sullivan

Bibliographic record

VenueUniversity of Limerick Institutional Repository (University of Limerick) · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Systems and Judicial Processes
Canadian institutionsnot available
Fundersnot available
KeywordsDivision (mathematics)Property (philosophy)LawPolitical scienceMathematicsPhilosophyArithmetic

Abstract

fetched live from OpenAlex

Family law in British Columbia, Canada has witnessed significant change in the last 5-6 years. Family property law, in particular, has seen drastic reform. One of the most significant changes which has arisen in the province is the introduction of the Family Law Act 2011 which, among other functions, now governs the distribution of assets on divorce and on the breakdown of common law marriage. Repealing and replacing the Family Relations Act 1996, the new 2011 Act aimed to make the law governing the division of assets simpler and easier to apply, reducing judicial discretion and bringing the province more in line with the rest of Canada. However, since the commencement of the legislation exactly two years ago (March 2013), a number of weaknesses inherent in the Act have already generated significant case law in the province. This paper seeks to highlight the main shortcomings which have emerged and analyse judicial responses to date.

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)0.005
metaresearch head score (Gemma)0.018
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 score0.108
Threshold uncertainty score0.783

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.018
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0190.006
Scholarly communication0.0080.001
Open science0.0020.002
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0050.001

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 head0.016
GPT teacher head0.199
Teacher spread0.183 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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