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Record W2980370897 · doi:10.1093/lawfam/ebz013

One Parent, Three Parents: Judges and Ontario’s All Families Are Equal Act, 2016

2019· article· en· W2980370897 on OpenAlexaffabout
Robert Leckey

Bibliographic record

VenueInternational Journal of Law Policy and the Family · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicJudicial and Constitutional Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsLegislatureChampionLegislationDiscretionLawVariety (cybernetics)Diversity (politics)Family lawPolitical sciencePsychology

Abstract

fetched live from OpenAlex

Abstract This article studies judges’ early treatment of a new law on parentage and assisted reproduction. During decades of legislative inaction, Ontario’s judges adapted the law to evolving familial practices, at times boldly. A legislative overhaul in 2016, aiming to recognize all children’s families equally and inclusively, raised the question whether judges would adopt a more restrained role post-reform. In two early cases, where the new conditions for automatic recognition of a parental arrangement were unmet, the judges emphasized the intention of involved adults. Closely reading the legislation, the article presents bases for deciding the cases otherwise and for reducing their potential to incentivize litigation. Where the legislature has set out a broad range of accessible paths to parentage, even judges who champion family diversity may have reasons to stick to those paths. For legislative drafters, the difficulty of anticipating the variety of contemporary forms of family may counsel against purporting to limit judicial discretion. Ontario’s experience also favours including transitional measures in major reform.

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)0.006
metaresearch head score (Gemma)0.017
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.135
Threshold uncertainty score0.978

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0310.007
Scholarly communication0.0050.001
Open science0.0010.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0070.000

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 head0.056
GPT teacher head0.327
Teacher spread0.271 · 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
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

Citations4
Published2019
Admission routes2
Has abstractyes

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