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Record W2923462742 · doi:10.22329/wyaj.v35i0.5691

Rule 2.1 of Ontario’s Rules of Civil Procedure: Responding to Vexatious Litigation While Advancing Access to Justice?

2018· article· en· W2923462742 on OpenAlexvenueaboutno aff
Gerrard J Kennedy

Bibliographic record

VenueWindsor Yearbook of Access to Justice · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsnot available
Fundersnot available
KeywordsEconomic JusticeCivil procedureRule of lawContext (archaeology)Face (sociological concept)LawFederal Rules of Civil ProcedurePolitical scienceResolution (logic)Procedural justiceAmerican ruleBusinessLaw and economicsComputer scienceSociologyPsychologyArtificial intelligenceHistoryPolitics

Abstract

fetched live from OpenAlex

This article analyzes the first three years of the operation of Rule 2.1 of Ontario’s Rules of Civil Procedure (the “Rule”), which allows a court to very summarily dismiss litigation that is “on its face” frivolous, vexatious, and/or abusive. The author explores the history of and rationale for the Rule, in the context of the access to justice crisis in Ontario, and in light of the perceived inadequacy of alternative mechanisms for addressing the dangers raised by vexatious litigants. He then reviews all 190 Rule 2.1 decisions decided between July 1, 2014 and June 30, 2017, with the goal to provide guidance for future lawyers and judges considering using the Rule. This is followed by an analysis of the effects on access to justice of the Rule, in terms of providing speedy and cost-efficient resolution of actions on their merits. The author concludes by considering how the Rule should be used in the future – doctrinally, institutionally, and ethically. His conclusions are hopeful. The Rule is powerful, and its use should prompt some pause in judges and lawyers. By and large, however, the Rule has been very well employed. It has resulted in immense savings of time and financial expense and many cases model fairness to vulnerable parties. In rare instances where the Rule’s (attempted) use has been inappropriate, costs in terms of delay and financial expense are usually minimal. The Rule is ultimately an inspiring example of how civil procedure can be amended to facilitate access to justice.

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: Empirical
Teacher disagreement score0.412
Threshold uncertainty score0.988

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 science0.0010.000
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 head0.045
GPT teacher head0.359
Teacher spread0.313 · 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
Published2018
Admission routes2
Has abstractyes

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