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Record W3122242701

Judicial Settlement-Seeking in Parenting Cases: A Mock Trial

2013· article· en· W3122242701 on OpenAlexaff
Noel Semple

Bibliographic record

VenueeYLS (Yale Law School) · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Systems and Judicial Processes
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsAdjudicationSettlement (finance)MediationEconomic JusticeContext (archaeology)Dispute resolutionBest interestsPolitical scienceNormativeLawAlternative dispute resolutionChild custodySociologyBusiness
DOInot available

Abstract

fetched live from OpenAlex

Judicial dispute resolution is common in family courts, where it usually consists of informal efforts to bring about settlement in pre-trial conferences. Many judges are especially eager to promote settlement in child custody and visitation cases. This paper will critically evaluate informal JDR in parenting disputes, by asking whether and to what extent it is in the best interests of the children involved. It begins by identifying several features which distinguish custody and access disputes from other types of civil litigation, and which are relevant to the normative analysis of JDR in this context.\nThe paper then describes and evaluates three arguments which might be made against informal JDR in custody and access. First, one might argue that there is too much settlement and not enough neutral adjudication of civil cases in general, or of parenting cases in particular. Second, one might applaud settlement in these cases but say that the efforts of the justice system to encourage it are ineffectual or inappropriate. Third, one might approve of settlement-seeking by the justice system in custody and access cases, but maintain that the system’s reliance on judges to do this work is mistaken.\nThe first two arguments can be rejected, but the author argues that the third has substantial merit. This paper will conclude by arguing that facilitative mediation by nonjudges appears to have significant advantages over judicial settlement-seeking as a way to resolve custody and access cases without adjudication. Assigning settlement-seeking to facilitative non-judges could revitalize both settlement-seeking and adjudication in family court.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.808
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.028
GPT teacher head0.299
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 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
Published2013
Admission routes1
Has abstractyes

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