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Record W2084963802 · doi:10.1350/ijep.10.4.280

Without Fear or Favour? Trends and Possibilities in the Canadian Approach to Expert Human Behaviour Evidence

2006· article· en· W2084963802 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueThe International Journal of Evidence & Proof · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicJury Decision Making Processes
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSkepticismJurisprudenceSupreme courtLawScientific evidencePolitical scienceRelevance (law)State (computer science)Rules of evidenceLaw and economicsSociologyEpistemologyComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

In R v Lavallee and R v Mohan, the Supreme Court of Canada established a test for the admissibility of expert evidence which is somewhat different from that used in other common law jurisdictions. Over the course of several more recent decisions, the court has expressed an increasingly sceptical attitude towards expert evidence of human behaviour. Collectively, these cases have left the state of Canadian law unclear. Canadian commentators also disagree about how best to navigate a path between the Scylla of uncritical reliance on expert evidence and the Charybdis of leaving discriminatory legal reasoning undisturbed. This article describes two proposals for reforming the Canadian approach to expert evidence and suggests that only one has the potential to move expert evidence jurisprudence beyond its current impasse.

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.472
Threshold uncertainty score0.857

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0020.000
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 head0.221
GPT teacher head0.453
Teacher spread0.231 · 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