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Record W7065483596

Electronic Records as Documentary Evidence

2007· article· en· W7065483596 on OpenAlexaboutno aff

Bibliographic record

VenueeYLS (Yale Law School) · 2007
Typearticle
Languageen
FieldPhysics and Astronomy
TopicLaser-Plasma Interactions and Diagnostics
Canadian institutionsnot available
Fundersnot available
KeywordsElectronic recordsStatutory lawGovernment (linguistics)HearsayInterpretation (philosophy)Common lawPublic recordsElectronic document
DOInot available

Abstract

fetched live from OpenAlex

The new electronic record provisions that are now part of almost all of the Evidence Acts in Canada are as important as any statutory law or common law concerning the use of records as evidence. They bring six important improvements to the evidentiary law of business records. It is argued, however, that their most serious defects are that they: (1) perpetuate the best evidence rule — a rule rendered redundant by electronic records and information management (RIM); (2) do not deal with hearsay issues; (3) do not cure the defects of the business record provisions in regard to electronic records; and (4) unnecessarily complicate the law. But these defects can be substantially lessened by judicial interpretation that accomplishes what the business records provisions should have accomplished. Although a topic left to a future article, this article should be read with the assumption that the electronic record provisions are interdependent with: (1) the new electronic commerce laws; (2) the new personal privacy protection laws; (3) the new electronic discovery guidelines; (4) the new National Standards of Canada concerning electronic RIM ; and (5) the records requirements of government agencies such as the Canada Revenue Agency. This article is therefore a first step in justifying the emergence of the ‘‘RIM lawyer’’ as a new field of legal practice.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.838
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0190.007

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 head0.011
GPT teacher head0.277
Teacher spread0.267 · 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; both teacher heads agree on what is shown here.

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

Citations2
Published2007
Admission routes1
Has abstractyes

Explore more

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