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Record W4413803066 · doi:10.29173/mlj1458

Virtually Similar? Considering the Potential for Virtual Jury Trials in Canada During and After the Pandemic

2024· article· en· W4413803066 on OpenAlexaboutno aff
Richard Jochelson, Brandon Trask, Michelle Bertrand, David Ireland, K. S. S. Nair

Bibliographic record

VenueManitoba Law Journal · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicLaw in Society and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsJuryPandemicCoronavirus disease 2019 (COVID-19)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)2019-20 coronavirus outbreakPolitical scienceMedicineVirologyLawOutbreak

Abstract

fetched live from OpenAlex

The World Health Organization declared COVID-19 as a global pandemic on March 11, 2020.1 Naturally, the health crisis resulted in a number of jurisdictions reacting to and adjusting their criminal justice processes in a fastidious manner; the US, UK, Brazil, China, India and Singapore, all, for example, embraced immediate technological adjustments. In Canada, though, at the outset, virtually all jurisdictions paused in the context of criminal jury trials. Of course, the Canadian reaction makes sense, given that jury proceedings are plagued by a number of technical complexities in addition to the normal course of administration of criminal justice. Jury selection itself is an exceptionally long process that takes time and requires state officials to engage in assessments of logistics. Further, jury trials notoriously take longer to complete than trials without a jury, including numerous applications and voir dires that may well require juries to move in and out of courtrooms as part of the regular course of the trial. Much as is the case with regular trials, counsel and client will engage in close communications, and victims and families will want to attend. In more notorious cases, media will wish to be present and, in general, the “open court” ideals of the Canadian process would suggest that the process remain accessible and open to the public. Certainly, in a new world order of social distancing, quarantining, mask-wearing, disinfection, and infection pre-emption, criminal-jury processes serve as reminder of how personal, interactive and intimate these proceedings can be, and the initial Canadian response was a logical one. Yet the longer the delays held, the more that justice officials and the judiciary would certainly worry about access-to-justice issues. Time-to-trial ceilings set in recent jurisprudence would certainly be troubled by a jury pause. Indeed, some scholars used the moment in time to raise issues about the necessity of jury trials at all, despite the codification of jury trials in the Charter. To take a snapshot of the state of Canadian jury trials is a somewhat complex matter. Jury trials do not result in reported decisions, except to the extent that they are mirrored in sentencing decisions or appeals, and, on occasion, written voir dire rulings. Further, COVID has stalled access to court documents and transcripts ordered by researchers, such that any deep dive into the work of juries during COVID would be delayed by months and even perhaps as far as into the recovery phase of the pandemic. Further, ordering these transcripts would cost thousands of dollars of expenditure in court-mandated transcription fees, beyond what would be feasible in the service of an academic explication of the jury pause. Fortunately, media and professional publications dutifully reported on the important events that occurred during the pause and subsequent slowdown of criminal jury trials, and when studied comprehensively, we can embark on the task of asking: What did the state of play of criminal jury work look like after the initial months of pandemic-induced lockdowns? In part, that is one of the questions we seek to answer in our analysis. The second question we seek to answer is: What challenges face jury work in a post-COVID justice landscape, one where the use of technology will likely lead to important questions about justice efficiency and the benefits of digital innovation in the criminal justice process?

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.672
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0000.000
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 head0.024
GPT teacher head0.274
Teacher spread0.250 · 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.

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

Citations0
Published2024
Admission routes1
Has abstractyes

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