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Record W1752244394 · doi:10.60082/2817-5069.1109

Whose Best Interests?: Custody and Access Law and Procedure

2010· article· en· W1752244394 on OpenAlexaffvenue
Noel Semple

Bibliographic record

VenueOsgoode Hall law journal · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Systems and Judicial Processes
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsBest interestsPremiseLawChild custodyContradictionPolitical scienceNormativeLaw and economicsSociology

Abstract

fetched live from OpenAlex

This article compares the law of custody and access disputes with the procedure used to resolve them. The author argues that there is a fundamental contradiction between the two. The former focuses on the interests of the children involved to the exclusion of everything else. The latter, however, is controlled by and designed to protect the rights and interests of the adult parties to the dispute. Despite their doctrinal centrality in custody and access law, children are usually silent and invisible in custody and access procedure. To resolve this contradiction, the author proposes a focus on the costs and benefits of litigation between parents for the children involved. As it stands, too much of the litigation that occurs between parents has more costs than benefits for them. Some of these cases should be curtailed, and the proportionality principle applied to others. Finally, children involved in custody and access litigation should have a stronger voice when decisions are being made about their future.

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)0.014
metaresearch head score (Gemma)0.024
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 score0.016
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.024
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0080.051
Scholarly communication0.0160.018
Open science0.0020.007
Research integrity0.0100.008
Insufficient payload (model declined to judge)0.0060.001

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 head0.023
GPT teacher head0.331
Teacher spread0.308 · 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

Citations8
Published2010
Admission routes2
Has abstractyes

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