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Record W1531778298

Curious Judge: Judicial Notice of Facts, Independent Judicial Research, and the Impact of the Internet

2012· article· en· W1531778298 on OpenAlexaffabout
Elizabeth F. Judge

Bibliographic record

VenueSSRN Electronic Journal · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Education and Practice Innovations
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsNoticeLawPolitical scienceAdversarial systemJudicial discretionLegislatureJuryJudicial reviewJudicial activismLaw and economicsSociology
DOInot available

Abstract

fetched live from OpenAlex

Judicial notice allows uncontroversial facts to be established without evidentiary proof. The facts must either themselves be beyond dispute because they are “notorious” (that is, generally known within the community) or they must be able to be referenced in easily accessed sources whose accuracy is beyond dispute. Judicial notice is an especially vexing topic because it goes to the heart of the epistemological inquiry of the adversarial process and the nature of the judicial function. Judicial notice implicates the allocation of responsibilities for fact finding between the parties and the court, between the judge and the jury, between the court of first instance and the appellate bodies, and between the courts and the legislature; how fact finders engage in ordinary reasoning processes to decide what a fact is; the distinction between adjudicative and legislative facts and their respective roles; and due process concerns for one or both parties. The rules governing judicially noticed facts are especially sensitive because whenever a fact is judicially noticed it is not subject to the ordinary processes for testing evidence, such as oaths and cross examination, and thus the rules implicate concerns about fairness to the parties and accuracy. For a common law precedential system, these concerns are particularly acute.Drawing on American and Commonwealth commentators, this article provides a detailed analysis of the general theory and policy of judicial notice and the role of judicial notice in the adversarial system. The article then turns to a discussion of the practice of independent judicial research and an examination of the impact of the internet on judicial notice. The article analyses the laws and policies governing judicial notice of facts and independent judicial research in Canada and the Supreme Court of Canada's legal framework. It examines independent judicial research and, most pertinently for modern practices of judicial notice, appropriate uses of internet search tools and online sources in the context of judicial notice. It considers how the internet is affecting key aspects pertaining to the judicial notice of facts: first, what “notoriety” and “community” mean; and second, what counts as an authoritative reference. The paper concludes by addressing how the internet, including search engines and online content, may affect the traditional framework for judicial notice of facts.

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)0.021
metaresearch head score (Gemma)0.072
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 score0.024
Threshold uncertainty score0.108

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.072
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0110.035
Scholarly communication0.0240.023
Open science0.0030.008
Research integrity0.0220.016
Insufficient payload (model declined to judge)0.0100.001

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 head0.050
GPT teacher head0.423
Teacher spread0.373 · 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

Citations1
Published2012
Admission routes2
Has abstractyes

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