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Record W857062757 · doi:10.29173/alr1282

Civil Justice Reform and Mandatory Civil Mediation in Saskatchewan: Lessons from a Maturing Program

2005· article· en· W857062757 on OpenAlexaffvenueabout
Julie Macfarlane, Michaela Keet

Bibliographic record

VenueAlberta Law Review · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Education and Practice Innovations
Canadian institutionsUniversity of SaskatchewanUniversity of Windsor
Fundersnot available
KeywordsMediationAdversarial systemEconomic JusticePolitical scienceLawReferralCivil procedureFlexibility (engineering)Restorative justiceConciliationParty-directed mediationPublic relationsAlternative dispute resolutionPsychologyPublic administrationManagement

Abstract

fetched live from OpenAlex

This article examines the development of the civil court-connected mediation program in Saskatchewan. The program was evaluated by the authors following its first 10years of operation, using focus groups and interviews with lawyers, clients, mediators and judges across the province. The resulting data shows a broad level of satisfaction with the mediation program among clients and a growing acceptance by the Bar and the Bench. There is an interesting alignment of views between some lawyers and clients describing a desire for proactive (albeit non-evaluative) mediators. The authors go on to discuss possible program enhancements to promote greater flexibility in case referral type, timing and management and to further extend acceptance of the program. The authors conclude that the Saskatchewan program provides a good example of a "maturing" court-connected mediation program, demonstrating the importance of changes in attitudes and behaviours especially among lawyers if justice reform in the form of court-connected mediation is to have a lasting impact on the adversarial culture of the courts.

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 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 score0.983
Threshold uncertainty score0.887

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 studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.035
GPT teacher head0.386
Teacher spread0.351 · 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

Citations2
Published2005
Admission routes3
Has abstractyes

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