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Record W6991543072

Hryniak: Two Years Later: The Multiple Applications of ‘That Summary Judgment Case’ From the Supreme Court of Canada

2015· article· en· W6991543072 on OpenAlexaboutno aff

Bibliographic record

VenueeYLS (Yale Law School) · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsnot available
Fundersnot available
KeywordsSupreme courtAdjudicationEconomic JusticeSummary judgmentContext (archaeology)Supreme Court Decisions
DOInot available

Abstract

fetched live from OpenAlex

In January 2014, the Supreme Court of Canada released its decision in Hryniak v Mauldin2 and called for a “culture shift” in the approach to summary judgment and the civil justice system more generally. With the ambitious goal of reducing protracted, costly litigation that undermines access to justice – all the while ensuring the fair and just adjudication of disputes – it is surprising that Hryniak has not garnered more attention.Or has it? It has been nearly two years since the Supreme Court’s call for change was levied. Since that time, Hryniak has been cited more than 800 times – 606 of those cases are from Ontario.3 This paper will explore the reach of Hryniak and, in particular, the shift in culture that it has begun to usher in; both in the context of motions for summary judgment and in civil justice system as a whole. We will also look at the use of one of the enhanced fact finding powers post Hryniak: the “mini-trial”. Shrouded somewhat in mystery since its unveiling in 2010, the mini-trial appears to offer opportunities within the “significant alternative model of adjudication”4 that summary judgment is intended to be in the wake of Hryniak.Our review of these issues will be explored through case examples within the following categories:The Hryniak culture shift and motions for summary judgment;Hryniak and the civil justice system generally – the culture shift landslide; andApplication of Hryniak to mini-trials:(a) Mini-trials ordered;(b) Mini-trials contrary to the interests of justice; and(c) Mini-trials and juries – are they compatible post-Hryniak?

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)0.000
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 score0.704
Threshold uncertainty score0.331

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.032
GPT teacher head0.277
Teacher spread0.245 · 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
Published2015
Admission routes1
Has abstractyes

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