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Record W2919390937

Where Do Mediators (and Mediation) Fit in the Regulatory Scheme Governing Lawyers? Unexplored and Unintended Consequences of Treating Mediators as Courts

2016· article· en· W2919390937 on OpenAlexaboutno aff
Bobette Wolski

Bibliographic record

VenueBond University Research Portal (Bond University) · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Education and Practice Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsMediationUnintended consequencesPolitical scienceLaw and economicsSocial psychologyPsychologyEconomicsLaw
DOInot available

Abstract

fetched live from OpenAlex

Mediation is now an integral component of the civil justice system. The question arises as to whether mediators should be treated as courts, or alternatively as third parties (it seems clear that they should not be treated as clients). In Australia, the professional conduct rules for lawyers provide a possible clue to the answer to this question as they define the term ‘court’ to include ‘mediations’. Unfortunately, it is not clear what is meant by this reference. In this paper, it is argued that rule drafters intended the reference to ‘mediations’ to mean ‘mediators’. If this is the case, then lawyers owe to mediators all the same obligations – including in some circumstances, an obligation of candor - as they owe to courts. There is another side to this debate. If mediators are considered to be ‘courts’, it may also follow that mediators owe to others (the parties, non-parties affected by the mediation and the general community) obligations to be honest and to ensure fair outcomes. These issues are controversial and in some respects, represent an about-face on the traditional view that mediators are not responsible for outcome fairness. It appears that different answers have been adopted by lawyers’ professional bodies in various common law jurisdictions. This paper will provide a comparative analysis of the rules of conduct governing lawyers in Australia, the UK, the USA and Canada as they apply to these issues. It will consider the implications of treating mediators as courts or as ‘other parties’. The author will make recommendations for change to the professional conduct rules in some jurisdictions including that of Australia.

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)0.040
metaresearch head score (Gemma)0.049
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.040
Threshold uncertainty score0.214

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0400.049
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0160.042
Scholarly communication0.0290.035
Open science0.0040.012
Research integrity0.0110.011
Insufficient payload (model declined to judge)0.0070.001

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 head0.055
GPT teacher head0.339
Teacher spread0.284 · 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 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
Published2016
Admission routes1
Has abstractyes

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