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Record W7042411252

The Potential for a Family Law Tribunal

2021· article· en· W7042411252 on OpenAlexaff

Bibliographic record

VenueYork University Digital Library (York University) · 2021
Typearticle
Languageen
FieldMaterials Science
TopicEnzyme Structure and Function
Canadian institutionsYork University
Fundersnot available
KeywordsAdjudicationTribunalFamily lawMediationConciliationWarrantFamily mediationDispute resolution
DOInot available

Abstract

fetched live from OpenAlex

This thesis considers the potential for tribunal adjudication in family law, particularly for custody and access cases. The central argument is that a paradigm shift away from adversarialism may enable experimentation with a holistic tribunal-based family law settlement system, at least for family law cases in which a best-interests-of-the-child determination is required. It is suggested that within a holistic tribunal settlement system, multi-disciplinary mediators and adjudicators could share decision-making responsibility, nurture tribunal expertise and develop transparent decision-making guidelines, while adjudication could be relegated to a secondary, inquisitorial component. New empirical research on mediation and adjudication processes in selected tribunals is reported, which I argue is relevant to the potential for an alternative institutional approach to family law dispute resolution. I conclude that there appears to be sufficient potential for a tribunal approach to family law dispute resolution to warrant further research.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.864
Threshold uncertainty score0.863

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.002
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 head0.008
GPT teacher head0.154
Teacher spread0.146 · 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 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
Published2021
Admission routes1
Has abstractyes

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