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Record W3197502058

THE LENGTH OF CIVIL TRIALS AND TIME TO JUDGMENT IN CANADA: A CASE FOR TIME-LIMITED TRIALS

2021· article· en· W3197502058 on OpenAlexaboutno aff
Kevin LaRoche, M. Laurentius Marais, David Salter

Bibliographic record

VenueThe Canadian Bar Review · 2021
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicLaw, Economics, and Judicial Systems
Canadian institutionsnot available
Fundersnot available
KeywordsCivil procedureEconomic JusticeJurisdictionJuryPolitical scienceLegitimacyContext (archaeology)LawTrial courtDilemmaJury trialSupreme courtPoliticsGeography
DOInot available

Abstract

fetched live from OpenAlex

That access to justice remains out of reach for most Canadians is undisputed. How to address that dilemma is a harder question. One repeatedly discussed barrier to access in the civil litigation context is the phenomenon of lengthy trials, which drive up costs for litigants, monopolize scarce judicial resources and threaten to delegitimize our judicial system by putting a litigant’s “day in court” out of reach. Discussions about access to justice, legitimacy and procedural reform in the civil justice system are well served if they rest on an empirical foundation. However, there is a dearth of statistical information with respect to civil, non-jury trials in Canada. For most jurisdictions, it is impossible to determine from publicly available sources how many civil trials occur every year in Canada, and in the case of every jurisdiction, how long those trials are. This original study reports data regarding the number (with limitations) and duration of civil non-jury trials in Ontario, British Columbia and the Federal Court of Canada, the length of time to judgment and the relationship between those two factors. This statistical evidence goes some distance in helping us understand the morphology of the Canadian trial system. It establishes that fairly modest reductions in average trial lengths would permit many additional trials to be heard in Canadian courtrooms annually. Materially increasing the number of bench trials that can be conducted improves access to justice. Trial time limits can reduce the average cost of litigation to litigants. Statistical analysis does not tell us if some trials are “too long” and provides no means of identifying those that may be. Whether a given trial is or is likely to be “too long” is in substance a normative question. That normative question has both systemic and particularistic aspects, both of which need to be considered by a trial judge. This article explores both quantitative and normative factors informing the debate over time-limited trials, concluding that Canadian civil justice systems are well-placed to begin implementing discretionary, judge-orderedtime-limited trials.

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)0.011
metaresearch head score (Gemma)0.004
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.845
Threshold uncertainty score0.926

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.089
GPT teacher head0.254
Teacher spread0.165 · 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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