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Record W3121580119

Parent Education Programs in Family Courts: Balancing Autonomy and State Intervention

2009· article· en· W3121580119 on OpenAlexaff
Shelley M. Kierstead

Bibliographic record

VenueSSRN Electronic Journal · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Systems and Judicial Processes
Canadian institutionsYork University
Fundersnot available
KeywordsAutonomyIntervention (counseling)Dispute resolutionState (computer science)Conflict resolutionFamily lawPsychologyBest practiceChild custodyPolitical scienceBest interestsSocial psychologyPublic relationsLawComputer science
DOInot available

Abstract

fetched live from OpenAlex

This article contemplates whether and how court-connected parent education programs can assist separating parents to access dispute resolution processes that best suit their families’ needs, in a manner that involves appropriately curtailed levels of state interference with parental autonomy. The author argues that such programs can play an important role in providing key information to separating parents. Specifically, providing mandatory information to all separating parents who seek access to the family law regime about children’s reactions to parental separation and conflict, and about the desirability of keeping such factors in mind as they consider the various dispute resolution options open to them, is a warranted level of state intervention. However, given current understandings of the appropriate limits on state interference with parental autonomy regarding child-rearing practices, programs aimed specifically at changing parental skills and behaviours should be mandated only on a case-by case basis, where a judge considers such changes necessary.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.878
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.014
GPT teacher head0.296
Teacher spread0.282 · 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.

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
Published2009
Admission routes1
Has abstractyes

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