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THE “EYE OF THE BEHOLDER”: PROFESSIONAL OPINIONS ABOUT THE BEST INTERESTS OF A CHILD

2011· article· en· W2139087767 on OpenAlexaffabout
Noel Semple

Bibliographic record

VenueFamily Court Review · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicMulticultural Socio-Legal Studies
Canadian institutionsUniversity of WindsorWomen's and Gender Studies et Recherches Féministes
Fundersnot available
KeywordsContext (archaeology)Child custodyState (computer science)Function (biology)Best interestsPsychologyPolitical scienceLawEmpirical researchSocial psychologyPublic relationsComputer science

Abstract

fetched live from OpenAlex

Child custody evaluations (CCEs) are a central feature of parenting litigation in many North American jurisdictions. However, there has been little recent research comparing CCE decisions about children's interests with decisions made by judges. This article presents empirical research about the extent to which Ontario judges accept custody and access recommendations from CCEs employed by Ontario's Office of the Children's Lawyer. The central finding was that the judges fully agreed with the CCEs only about half of the time. Possible explanations for this finding are explored, the most salient of which is the effect of delay in Ontario family litigation. In conclusion, the article suggests that a more efficient synthesis of the judicial and CCE decision-making processes might be more consonant with the best interests of children involved in these disputes.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.756
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0010.000
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 head0.102
GPT teacher head0.376
Teacher spread0.274 · 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
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
Published2011
Admission routes2
Has abstractyes

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