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Record W2281825073

Summary Judgment Has its Day in Court

2012· article· en· W2281825073 on OpenAlexaboutno aff
Janet Walker

Bibliographic record

VenueeYLS (Yale Law School) · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Law and Evidence
Canadian institutionsnot available
Fundersnot available
KeywordsSummary judgmentAppealMandateLawCredibilityPolitical scienceEconomic JusticeCivil procedureSupreme courtPsychology
DOInot available

Abstract

fetched live from OpenAlex

The summary judgment procedure is designed to improve the efficiency of civil litigation by enabling the striking out of claims or defences that can be decided without a full trial. In 2010, the Ontario rule on summary judgment changed to facilitate this goal by conferring additional powers on motion judges to weigh evidence, draw inferences and evaluate credibility. In December 2011, the Ontario Court of Appeal clarified the application of the new rule in its Combined Air Mechanical Services v. Flesch decision. The purpose of the new rule is to allow more cases to be decided by way of summary judgment, and the Combined Air decision helped clarify the extent to which the new rule has increased the mandate of motions judges to grant summary judgment. The author posits that the change adds a new category of cases that are appropriate for a summary trial: cases in which the motions judge is satisfied that a full trial is not required to serve the "interest of justice". Even with the new rule and the additional guidance from the Court of Appeal, Ontario courts continue to take a relatively conservative approach. Though the new rule widens the ambit of cases courts may find appropriate for summary judgment, and also widens the mandate of the judges who hear these motions, the author questions whether this means that significantly more cases will be resolved under the new rule. She notes a lasting traditional concern that only a trial with oral evidence will allow for a "full appreciation" of the record. The tradition from which this concern stems idealizes the continuous oral trial as a focal point of litigation and, according to the author, persists at the sacrifice of other efficiency-maximizing options, such as the "summary trial" procedure adopted in British Columbia.

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)0.012
metaresearch head score (Gemma)0.045
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: Empirical · Consensus signal: none
Teacher disagreement score0.111
Threshold uncertainty score0.220

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.045
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0140.011
Scholarly communication0.0200.006
Open science0.0020.005
Research integrity0.0110.014
Insufficient payload (model declined to judge)0.0340.016

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 head0.056
GPT teacher head0.314
Teacher spread0.258 · 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
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
Published2012
Admission routes1
Has abstractyes

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