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Record W4256107330 · doi:10.4324/9781315669465

Collaborative Practice

2017· book· en· W4256107330 on OpenAlexaboutno aff
Connie Healy

Bibliographic record

Venuenot available
Typebook
Languageen
FieldDecision Sciences
TopicEvaluation and Performance Assessment
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Collaborative practice is a new method of dispute resolution, used mainly in family law matters. By taking a non-adversarial approach, it challenges the strictly positivist view of the lawyer as ‘zealous advocate’ for the client. As such, it has received much criticism from the established Bar and legal profession. This book provides a doctrinal and empirical analysis of collaborative practice with a view to assessing its place within the dispute resolution continuum and addressing whether this criticism has been justified. It begins by establishing the theoretical underpinnings of conflict and differing approaches to conflict resolution, the impact of the comprehensive law movement and therapeutic jurisprudence. The origins and development of the collaborative process and the framework it provides for a multidisciplinary approach to conflict resolution is outlined. The book addresses the examination of the process undertaken in the lead up to the enactment of the Uniform Collaborative Law Act in 2010; now regarded as a model of best practice. Finally, through an examination of empirical research undertaken in the US, Canada and in England and Wales, and in presenting the results of the first known empirical research into the process in an Irish family law context, the book concludes with an evidenced based analysis of the process from the perspective of couples who chose to use the collaborative model to resolve the issues surrounding their relationship breakdown, collaborative lawyers and lawyers who do not advocate a non-adversarial approach. As such this book provides a valuable insight into the process which will be of interest to: academics; practising lawyers; members of the judiciary; researchers in the fields of conflict resolution and family law and for students studying alternative dispute resolution (ADR).

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)0.010
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.103
Threshold uncertainty score0.343

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.024
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0080.012
Scholarly communication0.0200.015
Open science0.0040.022
Research integrity0.0060.006
Insufficient payload (model declined to judge)0.1030.046

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 head0.261
GPT teacher head0.588
Teacher spread0.327 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2017
Admission routes1
Has abstractyes

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