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Record W2947425977 · doi:10.53300/001c.5667

Public Duty versus Private Information: Jury Privacy in the Information Age

2018· article· en· W2947425977 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueBond Law Review · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicJury Decision Making Processes
Canadian institutionsnot available
FundersCriminology Research Advisory Council, Australian Institute of CriminologyAustralian Institute of Criminology
KeywordsJuryImpartialityDutyPersonally identifiable informationPolitical scienceInformation privacySecrecyBusinessLawInternet privacyPublic relationsComputer science

Abstract

fetched live from OpenAlex

The lay-jury remains a central feature of justice systems in many common law countries. Underpinning the nature of jury trials are two fundamental principles: representativeness and impartiality. In order to satisfy these principles, jurors will typically be asked to provide personal information. This disclosure presents the possibility that a juror’s private information may be misused. While such concerns have existed for some time, the advent of Information Communication Technologies has given them increased urgency. Surveys reveal that a significant number of jurors are concerned for their privacy and safety, presenting a conflict between the public duty of jury service and their personal right of privacy. This article considers the extent to which the state can and should protect the privacy of individuals called for jury service. Focusing on examples from Australia, Canada, the United Kingdom and the United States, it begins with a discussion of the extent to which jurors are required to disclose personal information. It then discusses various concerns that may arise as a result of that disclosure, particularly personal safety and public embarrassment. Finally, suggestions for reform are provided in an attempt to address these concerns.

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.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.967
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.004
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.002

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 head0.118
GPT teacher head0.377
Teacher spread0.259 · 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