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Record W209252254

Khelawon: The Principled Approach to Hearsay Revisited

2008· article· en· W209252254 on OpenAlexaffabout
Hamish Stewart

Bibliographic record

VenueSSRN Electronic Journal · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Law and Evidence
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHearsayTestimonialSupreme courtAdmissible evidenceReliability (semiconductor)Confrontation ClauseFederal Rules of EvidenceLawPsychologyEpistemologyPolitical scienceLaw and economicsComputer scienceSociologyPhilosophyBusiness
DOInot available

Abstract

fetched live from OpenAlex

Under the principled approach, hearsay evidence is admissible if it is necessary and reliable. In Khelawon, the Supreme Court of Canada has reoriented the reliability inquiry around the question of whether the hearsay evidence in question should be admitted because, in the circumstances, the inability of the adverse party to test the evidence is not of great concern. Usually, the concern about testing the evidence can be allayed by the inherent reliability of the evidence or by the presence of substitutes for cross-examination before the trier of fact. In this comment, I argue that although this approach is generally consistent with the principled approach to the admissibility of evidence, it also creates some uncertainty about how trial judges are to assess threshold reliability. Although the question to be asked is now reasonably clear, Khelawon sets no particular limits on the factors that may be considered in answering that question. While this flexibility may seem consistent with the principled approach, there is a danger that it will lead to voir dires that either recapitulate the main trial or are limited on an ad hoc basis. Based in part on a discussion of four appellate decisions on the principled approach decided after Khelawon, I suggest that the further development of the principled approach to hearsay will require an approach to threshold reliability that limits the relevant factors to those bearing on the testimonial qualities of the hearsay declarant.

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)0.004
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.919
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.039
GPT teacher head0.308
Teacher spread0.269 · 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 designTheoretical or conceptual
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
Published2008
Admission routes2
Has abstractyes

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