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Record W3126410174

Ontario Civil Justice Reform in the Wake of COVID-19: Inspired or Institutionalized?

2020· article· en· W3126410174 on OpenAlexaboutno aff
Suzanne Chiodo

Bibliographic record

VenueeYLS (Yale Law School) · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Education and Practice Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsEconomic JusticeDemocracyLawPolitical scienceCivil procedurePublic administrationSociology
DOInot available

Abstract

fetched live from OpenAlex

On 17 March 2020, Ontario’s courthouses shut their doors as the civil justice system locked down with the rest of the province. Regular court operations were suspended due to the state of emergency caused by the COVID-19 pandemic. This was followed by a flurry of activity as courts drew up plans to resume operations as soon as possible. The “new normal” became virtual hearings, either by video conference, in writing, or by telephone.\nAs Attorney General Douglas Downey said, “We’ve modernized the legal system by about 25 years in 25 days.” Has the revolution arrived? Will the changes made in response to the pandemic become permanent? Will they be sufficient to address the problems of cost and delay that plague the civil justice system?\nThis article will posit that many of these changes are likely to become permanent. However, the extent and effectiveness of change will depend on the ability of “policy entrepreneurs” to use this moment of crisis to overcome institutional inertia in the Ministry of the Attorney General (MAG) and professional resistance in the Bar. This is not the first time that “dramatic innovation[s]” have been made in response to crisis in the civil justice system, as evidenced by the history of reform in that area. Lasting change will not come easily.\nFurthermore, while these changes are welcome, they are insufficient to address the crippling backlog facing the courts. A functioning civil justice system is essential to a functioning democracy, and Ontario’s civil justice system is fundamentally broken. The “paradigm shift” needs to go further. We need to entirely change our conception of how courts work, the nature of procedural justice, and our understanding of access to justice and how to facilitate it.\nThe answer I propose, as Richard Susskind and others have, is a system of online courts, where human judges hear evidence and arguments and render decisions by way of an online platform, all within a public dispute resolution (court or tribunal) system. British Columbia’s Civil Resolution Tribunal (BC CRT) is an excellent example. I argue that, as in BC, online courts could be initiated incrementally, alongside the current system, and thereby bypass and address many of the issues facing the current court system. I conclude with some thoughts for the future.\nMuch has been written on the subject of online courts, and the COVID-19 crisis in Ontario has precipitated numerous blogs and online articles. However, no-one has yet conducted a deep analysis of the changes in Ontario and what they mean for our court system. More importantly, my article fills a gap in the literature on online courts in general, none of which has considered the history of civil justice reform and the nature of institutional change.

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)0.006
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.698
Threshold uncertainty score0.809

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0290.022
Scholarly communication0.0160.004
Open science0.0030.007
Research integrity0.0080.008
Insufficient payload (model declined to judge)0.0090.001

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 head0.092
GPT teacher head0.370
Teacher spread0.277 · 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 designQualitative
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

Citations1
Published2020
Admission routes1
Has abstractyes

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